Faculty/Departmental Courses available for RPg students of other … · 2020. 8. 7. · Faculty of...

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Faculty/Departmental Courses available for RPg students of other Faculties Courses offered by: Pages Faculty of Architecture 2-4 Faculty of Arts 5-6 Faculty of Business & Economics 7-8 Faculty of Dentistry 9-10 Faculty of Education 11-12 Faculty of Engineering 13-18 LKS Faculty of Medicine 19-21 Faculty of Science 22-42 Faculty of Social Sciences 43-47

Transcript of Faculty/Departmental Courses available for RPg students of other … · 2020. 8. 7. · Faculty of...

Faculty/Departmental Courses available for RPg students of other Faculties

Courses offered by: Pages Faculty of Architecture 2-4 Faculty of Arts 5-6 Faculty of Business & Economics 7-8 Faculty of Dentistry 9-10 Faculty of Education 11-12 Faculty of Engineering 13-18 LKS Faculty of Medicine 19-21 Faculty of Science 22-42 Faculty of Social Sciences 43-47

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Architecture The University of Hong Kong Last update: July 29, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL

Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

RECO6021 Research Seminar I RPG - 15 -

Ms. Kennis Chan (Email: [email protected]; Tel: 3917 2128)

-

RECO6022 Research Seminar II RPG - 15 -

Ms. Kennis Chan (Email: [email protected]; Tel: 3917 2128)

-

Department of Real Estate and Construction

Syllabus for Research Postgraduate Courses

RECO6021 Research Seminar I

Course Syllabus:

This course aims to develop the student’s abilities in the formulation of an appropriate

research framework. Main issues include: literature search, qualitative and quantitative

research approaches, experiment design, model building, data analysis and dissemination

of results.

Teaching Schedule for Semester 1 of 2020-2021: To be confirmed

Contact details:

Ms. Kennis Chan

Department of Real Estate and Construction

Email: [email protected]

Tel: 3917 2128

Department of Real Estate and Construction

Syllabus for Research Postgraduate Courses

RECO6022 Research Seminar II

Course Syllabus

This course aims to familiarize students with academic rigor and to foster an appreciation

of the many different means of carrying out research that exist. Key issues include the

development of aims and objectives of the proposed research, determination and

justification of a suitable research methodology, and deciding on a practical program for

the execution of the research project. Students are required to give research seminar

presentations of their work as they progress.

Teaching Schedule for Semester 1 of 2020-2021: To be confirmed

Contact details:

Ms. Kennis Chan

Department of Real Estate and Construction

Email: [email protected]

Tel: 3917 2128

 

 

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Arts The University of Hong Kong Last update: July 24, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

BSTC6079 Early Buddhism: a doctrinal exposition

RPG/TPG 3

http://www.buddhism.hku.hk/p01_sub_req.htm

(The courses are offered to both Research Postgraduate students and students of the Master of Buddhist Studies programme.)

BSTC7117 Classical Tibetan III RPG/TPG Pre-requisite:BSTC7011

3

BSTC6052 Study of important Buddhist meditation texts

RPG/TPG 3

BSTC7006 Pali I RPG/TPG 3

BSTC6013 Buddhism in Tibetan contexts: history and doctrines

RPG/TPG 3

BSTC6080 Chinese Buddhist art along the Silk Road

RPG/TPG 3

BSTC7008 Sanskrit I RPG/TPG 3

BSTC6055 Buddhist psychology I RPG/TPG 3

BSTC6032 History of Indian Buddhism: a general survey

RPG/TPG 3

BSTC7010 Classical Tibetan I RPG/TPG 3

 

 

BSTC6006 Counselling and pastoral practice

RPG/TPG 3

CHIN6002 Special Topics in Chinese Studies RPG NIL NIL

Syllabuses and timetables are available on the following school websites: http://www.chinese.hku.hk/main/postgraduate/research-postgraduate-programmes/ http://www.chinese.hku.hk/main/resources/timetables-principal-dates/

Ms. Grann Wong Email:[email protected] Tel: 3917 7292

Cantonese or Putonghua

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Business and Economics The University of Hong Kong Last update: July 13, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

BUSM6001 Research Methods for Business Studies RPG - 5 https://www.fbe.hku.hk

/phd/course/phd-mphil - -

ECON6002 Selected Topics in Microeconomics RPG - 15 Same as above - -

FINA6017 Corporate Finance Theory RPG - 5 Same as above - -

MKTG6002 Research Seminars in Marketing I: Consumer Behaviour

RPG - 5 Same as above - -

Course Code Course Title Lecturer Meeting Time Venue Meeting Dates Level Prerequisites

BUSM6001 Research Methods for Business Studies

Prof. Kevin Zhou (Week 1-4)Prof. Echo Wan (Week 6-7)Dr. Michael Chau (Week 8-9)Dr. Wei Zhang (Week 10-11)Prof. Xin Wang (Week 12-13)

FRI 09:30-12:15 KK1121Sep 4, 11, 18, 25;Oct 9, 16, 23, 30;Nov 6, 13, 20, 27, 2020

RPG /

ECON6002 Selected Topics in MicroeconomicsDr. Jianrong Tian (Week 1-6)

Prof. Wing Suen (Week 8-13) FRI 14:00-17:00 KK1303

Sep 4, 11, 18, 25;Oct 9, 23, 30;Nov 6, 13, 20, 27, 2020

RPG /

FINA6017 Corporate Finance TheoryProf. Tingjun Liu (Week 1-6)

Prof. Xuewen Liu (Week 8-13)TUE 13:30-16:20 KK1121

Sep 1, 8, 15, 22, 29; Oct 6, 20, 27; Nov 3, 10, 17, 24, 2020

RPG /

MKTG6002Research Seminars in Marketing I: Consumer Behaviour

Prof. Echo Wan TUE 13:30-17:00 KK1119Sep 8, 15, 22, 29; Oct 6, 13, 27; Nov 3, 10, 17, 2020

RPG /

Venue: KK - K.K. Leung Building

Reading Week: Oct 12 - 17, 2020Revision Period: Dec 1 - 7, 2020Assessment Period: Dec 8 - 23, 2020

The University of Hong KongFaculty of Business and Economics

2020-21 RPG / TPG Course Timetable for RPG Students(updated 20200804)

Semester 1

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Dentistry The University of Hong Kong Last update: July 13, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL

Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

DENT6023 Oral Epidemiology and Clinical Research Methodology

RPG - 3 - - -

Faculty of Dentistry, The University of Hong Kong

Core courses for RPG students (2020-2021)

1

Course 1 : Oral epidemiology and clinical research methodology Course coordinators : Prof. May Wong and Prof. Edward Lo Date / Time : Oct 6, 2020 – Dec 15, 2020 Venue : Lecture Theatre II Course objective

This course aims to introduce the students to the various types of epidemiological studies and how to conduct clinical trials. On completion of this course, a student should be able to critically appraise reports from oral epidemiological studies and the level of evidence generated. The student should also be able to choose an appropriate design for a clinical study on a specific topic of interest. Session topics

Topic RPG

9:00am–12:00noonTuesday

1 Dental research – types and process Oct 6

2 Epidemiology: features, recording and measurements (Prof. Edward Lo)

Oct 13

3 Observational studies – surveys and sampling Oct 20

4 Correlation studies – case-control study and cohort study Oct 27

5 STROBE Statement Critical appraisal of dental literature - exercise 1 (surveys)

Nov 3

6 Clinical intervention studies – study designs Nov 10

7 Evidence-based dentistry Good clinical practice for clinical trials

Nov 17

8 CONSORT Statement Critical appraisal of dental literature - exercise 2 (clinical trial)

Dec 1

9 Data collection through the use of questionnaire Dec 8

10 Writing a study protocol Dec 15

Assessment: To be confirmed

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Education The University of Hong Kong Last update: July 24, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL

Contact person (if applicable) (Name, email and/or tel. number)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

EDUR8030

Technology-Enhanced Learning from Learning Design and Organizational Change Perspectives

RPG

Vetting of the student’s background and relevance to the field of technology-enhanced learning

https://web.edu.hku.hk/research/research-postgraduate-students/mphil-and-phd-students/course-enrolment

EDUR8054 Social Inequality in Educational Achievement RPG Nil Same as above

EDUR7056 Regression (Part A) RPG

See note 1 below (Students need to provide evidence that they meet pre-requisite)

Same as above

EDUR7057 Experimental Design (Part A) PRG

See note 2 below (Students need to provide evidence that they meet pre-requisite)

Same as above

EDUR7069 Interactional Ethnography RPG Nil 5 Same as above

Note 1: Pre-requisite for “EDUR7056 Regression (Part A)” EEDD6701 Research Methods I/ EDUR6020 Quantitative Research Methods I & EDUR6021 Quantitative Research Methods II/ A graduate course that covers inferential statistics is required

Note 2: Pre-requisite for “EDUR7057 Experimental Design (Part A)”

EEDD6701 Research Methods I/ EDUR6020 Quantitative Research Methods I & EDUR6021 Quantitative Research Methods II/ A graduate course that covers inferential statistics is required

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Engineering The University of Hong Kong Last update: July 29, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

CIVL8015 Special topic in environmental engineering A: Research and practice

RPG

A course in environmental science or environmental engineering

5 http://www.civil.hku.hk/civil_intranet/index.html

- -

CIVL8018 Virtual prototyping in civil engineering RPG - 5 Same as above - -

CIVL8020 Statistical methods for engineering RPG - 5 Same as above - -

CIVL8021 Selected advanced topics in soil mechanics RPG - 5 Same as above - -

ELEC8504 Polynomial optimizations via linear matrix inequalities RPG - 10

https://elink.eee.hku.hk/postgrad_course_outlines_2021.html

- -

ELEC8505 Probability and random processes RPG - 10 Same as above - -

MECH6010 Service behaviour of materials TPG - 5 https://www.mech.hku.

hk/tpg - -

MECH6034 Computer-aided product development (CAPD) TPG - 5 Same as above - -

MECH6045 Nanotechnology: fundamentals and applications

TPG - 5 Same as above - -

MECH7010 Contemporary robotics TPG - 5 Same as above - -

MECH7014 Railway Engineering – Metro and High-Speed Rail TPG - 5 Same as above - -

SYLLABUS: CIVL8015 Special topic in environmental engineering A: Research and practice This course aims at providing students with a comprehensive understanding of ecohydrology and its recent applications in various ecosystems. The course also provides a fundamental understanding of the water and wastewater treatment systems and the potential impacts of climate change on water security. CIVL8018 Virtual prototyping in civil engineering This course aims to equip students with understanding of the fundamental principles of virtual prototyping, processes of virtual prototyping, documentation of software development, current research and development efforts, and applications that have been developed and commonly used in the architecture, engineering and construction/Facility Management (AEC/FM) industry. The course also intends to provide students with opportunities to investigate the current AEC industry practice and develop research topics to further enhance the technology by conducting a semester-long project, presentations and discussions. CIVL8020 Statistical methods for engineering This module aims to provide students with a comprehensive exposition of the use of statistical methods/models that are useful in analyzing data commonly encountered in engineering problems such as transportation. Topics will include basic tools for statistical model building, linear models, count and discrete dependent variables, duration models, and analysis of panel data. Special emphasis is placed on the data analysis and modelling of travelers’ behaviors. Software packages such as SPSS and R will be used to support the demonstration of the practical application of data analysis and model building in the module. CIVL8021 Selected advanced topics in soil mechanics Soil behavior; stresses and strains in soil masses; stress path; soil deformation and consolidation theory; soil strength and failure criteria of soils; soil modelling techniques; laboratory testing applications. ELEC8504 Polynomial Optimization via Linear Matrix Inequalities Linear matrix inequalities (LMIs) play a key role in solving optimization over polynomials thanks to convexity properties, the theory of positive polynomials, and the development of LMI solvers. This course aims at providing students with the fundamental results in solving optimization over polynomials via LMI techniques, which find applications in various areas such as dynamical systems and computer vision. ELEC8505 Probability and Random Processes The subject of probability and random processes is an important one for a variety of disciplines, including estimation and detection, pattern recognition, voice and image processing, networking and communications. This course is a first year graduate level course in probability and random processes. It aims at providing students with solid knowledge of the fundamentals and applications of random phenomena. By the end of this course, the students should be able to apply the probability theory to their own research areas. MECH6010 Service behaviour of materials The aims of this course are: (1) to study the relevant physical basis for the understanding and prediction of the service behaviour, such as creep, fracture, fatigue and corrosion, of materials in industrial applications; and (2) to provide the knowledge to engineers the microstructure in such a way that the service behaviour of materials can be improved.

Topics include: creep regimes; creep mechanisms; creep resistant alloys; brittle fracture; ductile fracture; brittle-ductile transition; fracture mechanism maps; fatigue; Basquins and Coffin-Manson Laws; Goodman’s relation; Palmgren-Miner rule; corrosion; electrochemical principles; forms of corrosion; corrosion control; case studies; service behaviour of engineering plastics; polymer-matrix composites. MECH6034 Computer-aided product development (CAPD) This course will focus on main technologies related to computer-aided product development, including popular product development methodologies, computer-aided design, haptic shape modelling, reverse engineering, additive manufacturing and rapid tooling. The specific course objectives are: (1) To have a good understanding of popular product development methodologies, product development processes; (2) to understand major technologies that can be used to assist product development at different phases; (3) to be able to apply the computer-aided product development technologies to develop a simple product; and (4) to understand the constraints of manufacturing and cost in product development. Topics include: product development methodologies; basic product manufacturing technologies; design for manufacturing; product costing and value engineering; solid modelling techniques; reverse engineering; additive manufacturing. MECH6045 Nanotechnology: fundamentals and applications Nanotechnology is a rapidly developing discipline which has emerged from foundations based in microtechnology built up during the past few decades. Many exciting engineering applications in nanotechnology have been proposed and some are already in use. The current intensive research activities world-wide make it highly likely that many more products and applications in nanotechnology will emerge in the next few decades. This course aims at: (1) to equip students with fundamental knowledge and concepts on micro- and nano-technology, and to enable the students to apply such knowledge in future careers in both industry and universities; (2) to enable students to understand the effects of material size on behaviour and properties, and from these to appreciate the new possibilities in both fundamental science and practical applications brought about by nanotechnology; and (3) to introduce students to promising and emerging applications of nanotechnology in energy storage/conversion, unconventional materials and optical metamaterials, and help students to further research and/or work in specific application areas. Topics include: characteristic length scales, nanomaterials, nanostructures, physical properties of nanostructures, deposition techniques of nanofabrication, micro/nanolithography, high resolution analysis and characterization, scanning probe methods, nanoindentation, mechanical behaviours of bulk nanostructured materials, processing techniques for bulk nanostructured materials, ultrahigh strength of nanostructures, bio-nanotechnology, energy storage, energy conversion, nanophotonics, plasmonics, optical metamaterial. Students who have taken and passed MECH6040 will not be allowed to take MECH6045. MECH7010 Contemporary robotics This course aims to explore the major technologies related to modern robotic systems, including the components and working principle of robots, automatic and computer-aided control, kinematics and control of mobile robots including drones and driverless cars, soft robots, etc.

The specific course objectives are: (1) to have a comprehensive understanding of robotic systems in terms of their system configurations, working principles, historical evolutions, and applications; (2) to understand the mathematical foundations, designs, data processing, and real-time control of various sensing and actuation units which comprise a robotic system; (3) to study the robot kinematics modelling, sensing, estimation, and control; (4) to explore the challenges and trends in contemporary robotic research, and the future directions for application of robotic components. MECH7014 Railway engineering – metro and high-speed rail The aim of this module is to provide students with an understanding of key subject matters in railway engineering, which include (i) railway services; (ii) metro trains and high speed trains, and its key components; (iii) wheel-rail interaction and traction drives; (iv) metro and high speed train traction and control; (v) signaling systems for metro and high speed rail; (vi) track works, overhead line and railway infrastructures; (vii) high-speed rail and metro station and platform design; and (viii) railway risk assessment, safety management and business management. Students enrolled in the module are expected to have prior understanding of basic mechanical engineering principles.

The University of Hong Kong Faculty of Engineering

Course Timetable, 2020 – 2021 (1st Semester)

Dept. MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY SATURDAY

Civil Engineering

CIVL8021 Selected advanced topics in soil mechanics 2:30pm – 5:30pm

CIVL8015 Special topic in environmental engineering A 2:30pm – 5:30pm

CIVL8018 Virtual prototyping in civil engineering 2:30pm – 5:30pm

CIVL8020 Statistical methods for engineering 2:00pm – 5:00pm

Computer Science

Electrical and Electronic Engineering

ELEC8505 Probability and random processes 3:30pm – 4:20pm

ELEC8504 Polynomial optimizations via linear matrix inequalities 9:30am – 12:20pm

ELEC8505 Probability and random processes 3:30pm – 5:20pm

Mechanical Engineering

MECH6045 Nanotechnology: fundamentals and applications 7:00pm – 9:30pm

MECH6010 Service behaviour of materials 7:00pm – 9:30pm

MECH6034 Computer-aided product development (CAPD) 7:00pm – 9:30pm

MECH7010 Contemporary robotics 7:00pm – 9:30pm

MECH7014 Railway Engineering – Metro and High- Speed Rail 2:30pm – 5:30pm

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) LKS Faculty of Medicine The University of Hong Kong Last update: July 24, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

MMPH6124 Basic Medical bioengineering RPG

Students are expected to have basic university level training in physics, chemistry and mathematics

https://www.med.hku.hk/images/document/03edu/research/full-list.html

MMPH6119 Current Topics in Medical Microbiology RPG Same as above 

MMPH6186 Research Methodologies in Obstetrics and Gynaecology RPG BSc or medical

graduate Same as above

MMPH6001 Laboratory Methods and Instrumentation RPG Same as above

MMPH6016 General Cytopathology RPG Same as above 

MMPH6139 Techniques and Applications of Molecular Pathology RPG Same as above 

MMPH6127 Principles of Drug Action RPG

Students with biochemical and biomedical background is preferred

Same as above 

MMPH6172 Advances in Vascular Biology and Therapeutics RPG

Students with biochemical and biomedical background is preferred

Same as above 

MMPH6185 Advanced Drug Delivery and Drug Development RPG

Students with biochemical and biomedical background is preferred

Same as above 

MMPH6109 Health Behaviour and Communication RPG Same as above 

MMPH6157 Intermediate Epidemiology RPG Same as above 

MMPH6208 Measurement of Health RPG Same as above 

MMPH6212 Bioethics Foundations RPG Same as above 

MMPH6123 Introduction to Medical Law RPG Same as above 

MMPH6124 Mental Disability and the Law RPG Same as above 

MMPH6005 Practical Bioinformatics RPG Same as above 

MMPH6175 HKU-Pasteur Cell Biology Course RPG Same as above 

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Science The University of Hong Kong Last update: July 31, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

BIOL6009 Advanced studies in Ecology & Biodiversity for postgraduate students

RPG Students will select one BSc course in SBS

EASC6009 Earth Systems Through Time RPG Course

syllabus refers 4

https://www.earthsciences.hku.hk/prospective-students/postgraduate-students/research-postgraduates/coursework-requirement

Dr Ryan McKenzie

TT will be decided until after meeting with students.

PHYS8450 Graduate electromagnetic field theory RPG Pass in

PHYS4450

https://webapp.science.hku.hk/sr4/servlet/enquiry?Type=Course&course_code=PHYS7450

Prof Z D Wang

PHYS8552 Physics of quantum liquids RPG Dr C J Wang

PHYS8654 General relativity RPG

Pass in PHYS2055 and PHYS3350

https://webapp.science.hku.hk/sr4/servlet/enquiry?Type=Course&course_code=PHYS4654

Dr M Su

PHYS8750 Nanophysics RPG

https://webapp.science.hku.hk/sr4/servlet/enquiry?Type=Course&course_code=PHYS7750

Prof S J Xu

STAT6005 Special studies in statistics RPG [email protected]

STAT6008 Advanced statistical inference RPG/TPG [email protected]

STAT6009 Research Methods in Statistics RPG [email protected]

STAT6010 Advanced Probability RPG [email protected]

STAT6011 Computational statistics RPG [email protected]

BIOL6009 Advanced studies in Ecology & Biodiversity for postgraduate students

OBJECTIVES This course aims to provide student centred learning opportunities which will be designed for each individual student. Students will be required to take parts of existing Masters courses or advanced courses from the BSc curriculum which are considered necessary for their particular needs and which they have not previously taken. Opportunities for internships with local conservation organizations (1 day per week over at least one semester), that will allow students to gain relevant practical experience, may also be available.

ASSESSMENT Examination (70-80%) and continuous assessment (20-30%) depending on the studies selected; pass/fail

Coordinator: Prof. Gray A Williams

EASC6009 (Earth Systems Through Time) Academic Year 2020 - 21

Offering Department Earth Sciences Compulsory (C)/

Elective (E)

E

Course Co-ordinator Dr. Ryan McKenzie ([email protected])

Teachers Involved Variable depending on topics each semester

Course Objectives Evaluate various integrative Earth systems in space and time.

Course Contents & Topics Biogeochemical and tectonic processes that influence Earth’s surface

environment. Each semester topics may cover: “Origin of the Continental

Crust”, “The Carbon Cycle”, “Oxygenation of the Atmosphere”, “Mountains and

Climate”, amongst others.

Course Learning Outcomes Upon successful completion of this course, students should:

1) generate an understanding of “systems science” as pertaining to topics in

Earth and Planetary Sciences;

2) understand topics covered such that they can actively participate in critical

research-related discussions, as well as provide coherent presentations

explaining the fundamentals of specified topics; and

3) understand topics to the level that they can formulate new scientific questions

relevant to their personal research, from which they can generate new ideas for

future scientific proposals of their own.

Pre-requisites

(and Co-requisites and

Impermissible combinations)

A degree or significant experience in Earth, Atmospheric, Environmental, or

Biological Sciences, or a closely related field.

Offer in 2020 - 2021 Yes (1st sem and 2nd sem) Examination No Exam

Offer in 2021 - 2022 Yes

Course Grade Pass/Fail

Grade Descriptors Pass Completion of weekly objectives. Demonstrate understanding of various topics

covered, primarily through active participation in group discussions and ability ot

present and lead discussion on select topics. Short writing exercise on select topic to

be determined with instructor.

Fail Lack of participation, failure to present/lead discussions on select topics or complete

course objectives.

Course Type Lecture-based / discussion-based

Course Teaching

& Learning Activities

Activities Details No. of Hours

Lectures 2 hours/week

Assessment Methods

and Weighting

Methods Details Weighting in final

course grade (%)

Assignment Participation in readings &

discussion, leading

discussion via presentation

of select readings.

80%

Project report 3-page mock proposal of

topic agreed upon by

instructor.

20%

Required/recommended

reading and online materials

Scientific journal articles TBD each semester.

Additional Course Information

PHYS8450 Graduate Electromagnetic Field Theory

Offering Department Physics

Course Co-ordinator Prof Z D Wang, Physics < [email protected] >

Teachers Involved Prof Z D Wang, Physics

Course Objectives The aim of this course is to provide students with the advanced level of

comprehending on the theory of classic electromagnetic field, enabling them

to master key analytical tools for solving real physics problems.

Course Contents &

Topics

This course will introduce and discuss the following topics: Boundary-value

problems in electrostatics and Green Function method, Electrostatics of

Media, Magnetostatics, Maxwell's equations and conservation laws, Gauge

transformations, Electromagnetic waves and wave guides.

Course Learning

Outcomes

On successful completion of the course, students should be able to:

1. analyse and solve various electrostatic and magnetostatic problems with

Green's Function

2. comprehend and explain many electromagnetic phenomena

3. recognise and comprehend the important concepts of conservation laws

and gauge transformations, which should be very helpful for doing

research in future

Pre-requisites

(and Co-requisites

and

Impermissible

combination)

---

Offer in 2019 - 2020 Y 1st sem Examination Dec

Offer in 2020 - 2021 Y

Course Grade Pass/Fail

Grade Descriptors Pass Demonstrate thorough mastery at an advanced level of extensive knowledge and skills

required for attaining all the course learning outcomes. Show strong analytical and

critical abilities and logical thinking, with evidence of original thought, and ability to

apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply

highly effective organizational and presentational skills. Apply highly effective lab

skills and techniques. Critical use of data and results to draw appropriate and insightful

conclusions.

Fail Demonstrate little or no evidence of command of knowledge and skills required for

attaining the course learning outcomes. Lack of analytical and critical abilities, logical

and coherent thinking. Show very little or no ability to apply knowledge to solve

problems. Organization and presentational skills are minimally effective or ineffective.

Course Type Lecture-based elective course

Course Teaching

& Learning Activities

Activities Details No. of Hours

Lectures 36

Tutorials 12

Reading / Self study 80

Assessment Methods

and Weighting

Methods Details Weighting in

final

course grade (%)

Assignments 30

Examination 3-hour written

examination

70

Required/recommend

ed reading

and online materials

J.D. Jackson: Classical Electrodynamics (John Wiley & Sons, 1999)

L.D. Landau and E.M. Lifshitz: Classical Theory of Fields (Pergamon, 1982)

Additional Course

Information

---

PHYS8552 Physics of Quantum Liquids

Offering Department Physics

Course Co-ordinator Dr. C.J. Wang, Physics < [email protected] >

Teachers Involved Dr. C.J. Wang, Physics

Course Objectives The collective behavior of systems consisting of many particles (bosons or

fermions) gives rise to new states of matter, which emerge at low

temperatures where interactions are important. This course aims to introduce

the students to those novel quantum states, emphasizing the general themes

such as elementary excitations, broken symmetry, hydrodynamic description,

and topological properties of condensed matter. Theoretical language useful

in the interpretation of experiments, such as response functions, will be

discussed. The emphasis will be on a selected few examples that illustrate the

above concepts and techniques. The course is intended for both

experimentalists and theorists.

Course Contents &

Topics

This course will concentrate on the phenomena of emergent many-body states

that require not only the effects of quantum mechanics, but also that of

quantum statistics to its proper explanation. Examples include: superfluidity,

superconductivity and the quantum Hall states. We will emphasize on the

interaction effects and discuss the primary feature brought about by the

interaction. Some general themes related to these quantum states, such as

elementary excitation, Ginzburg-Landau description and symmetry breaking

will be discussed.

Course Learning

Outcomes

On successful completion of the course, students should be able to:

1. understand the general phenomenology of superfluidity and its

definition

2. apply response function formalism to understand simple experiments

and carry out analysis based on analytic properties based on response

function

3. understand the many-body phenomena based on many-body wave

functions and can describe the elementary excitations on top of it.

Pre-requisites Student should have passed PHYS4351, Advanced Quantum Mechanics,

(and Co-requisites

and

Impermissible

combination)

PHYS4550, Advanced Statistical Mechanics.

Offer in 2019 - 2020 Y 1st sem Examination Dec

Offer in 2020 - 2021 To be confirmed

Course Grade Pass/Fail

Grade Descriptors Pass Demonstrate thorough mastery at an advanced level of extensive knowledge and skills

required for attaining all the course learning outcomes. Show strong analytical and

critical abilities and logical thinking, with evidence of original thought, and ability to

apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply

highly effective organizational and presentational skills. Apply highly effective lab

skills and techniques. Critical use of data and results to draw appropriate and insightful

conclusions.

Fail Demonstrate little or no evidence of command of knowledge and skills required for

attaining the course learning outcomes. Lack of analytical and critical abilities, logical

and coherent thinking. Show very little or no ability to apply knowledge to solve

problems. Organization and presentational skills are minimally effective or ineffective.

Course Type Lecture-based elective course

Course Teaching

& Learning Activities

Activities Details No. of Hours

Lectures 36

Guided studies 12

Assessment Methods

and Weighting

Methods Details Weighting in

final

course grade (%)

Continuous assessment including

homework assignments and term

paper

100

Required/recommend

ed reading

D. Pines and N. Nozieres, Theory of Quantum Liquids, in two volumes

(Westview Press, 1994)

and online materials James F. Annett, Superconductivity, Superfluids, and Condensates, Oxford,

2004

D. Pines and N. Nozieres, Theory of Quantum Liquids, in two volumes,

Westview Press, 1994

A.J. Leggett, Quantum Liquids, Oxford, 2006

P. Chaikin and T. Lubensky, Principles of Condensed Matter Physics,

Cambridge, 2000

M. Tinkham, Introduction to Superconductivity, 2nd Edition, Dover, 1996

P. de. Gennes, Superconductivity of Metals and Alloys, Westview Press,

1999

D. Yoshioka, The Quantum Hall Effect, Springer, 2002

R.E. Prangle and S. Girvin, The Quantum Hall Effect, Springer, 1989

J.K. Jain, Composite Fermions, Cambridge, 2007

X.-G. Wen, Quantum Field Theory of Many-Body Systems: From the Origin

of Sound to an Origin of Light and Electrons, Oxford Graduate Texts, 2007

Additional Course

Information

---

PHYS8654 General Relativity

Offering Department Physics

Course Co-ordinator Dr M Su, Physics < [email protected] >

Teachers Involved Dr M Su, Physics

Course Objectives To introduce students to the field of general relativity. To provide conceptual

skills and analytical tools necessary for astrophysical and cosmological

applications of the theory.

Course Contents &

Topics

The Principle of equivalence. Inertial observers in a curved space-time.

Vectors and tensors. Parallel transport and covariant differentiation. The

Riemann tensor. The matter tensor. The Einstein gravitational field equations.

The Schwarzschild solution. Black holes. Gravitational waves detected by

LIGO.

Course Learning

Outcomes

On successful completion of this course, students should be able to:

1. apply the mathematical and physical ideas of the theory of general

relativity for the study of various systems in astrophysics and

cosmology

2. explain the observational effects at the scale of the Solar System that

cannot be described by Newtonian gravity from a general relativistic

point of view

3. demonstrate knowledge and discuss the dynamic interactive physical

processes in astrophysics by using a general relativistic approach

Pre-requisites

(and Co-requisites

and

Impermissible

combination)

---

Offer in 2019 - 2020 Y 1st sem Examination Dec

Offer in 2020 - 2021 Y

Course Grade Pass/Fail

Grade Descriptors Pass Demonstrate thorough mastery at an advanced level of extensive knowledge and skills

required for attaining all the course learning outcomes. Show strong analytical and

critical abilities and logical thinking, with evidence of original thought, and ability to

apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply

highly effective organizational and presentational skills. Apply highly effective lab

skills and techniques. Critical use of data and results to draw appropriate and insightful

conclusions.

Fail Demonstrate little or no evidence of command of knowledge and skills required for

attaining the course learning outcomes. Lack of analytical and critical abilities, logical

and coherent thinking. Show very little or no ability to apply knowledge to solve

problems. Organization and presentational skills are minimally effective or ineffective.

Course Type Lecture-based elective course

Course Teaching

& Learning Activities

Activities Details No. of Hours

Lectures 36

Tutorials 12

Reading / Self study 80

Assessment Methods

and Weighting

Methods Details Weighting in

final

course grade (%)

Assignments 20

Examination 2-hour written

exam

60

Test 20

Required/recommend

ed reading

and online materials

Lecture notes provided by Course Coordinator

R. M. Wald: General Relativity (University of Chicago Press, 1984)

T. A. Moore: A General Relativity Workbook (Univ Science Books, 2012)

J. B. Hartle: Gravity: An Introduction to Einstein's General Relativity

(Addison-Wesley 2003)

B. Schutz: A First Course in General Relativity (Cambridge University Press,

2009)

Course Website http://moodle.hku.hk

Additional Course

Information

---

PHYS8750 Nanophysics

Offering Department Physics

Course Co-ordinator Prof S J Xu, Physics < [email protected] >

Teachers Involved Prof S J Xu, Physics

Course Objectives This course is designed to let fresh postgraduate students know fundamental

concepts and principles of nano physics, such as two-dimensional electron

gas, quantum Hall effects, one-dimensional electron system, quantum wires

and nanotubes, zero-dimensional electron systems, single electron effects and

quantum dots.

Course Contents &

Topics

Introduction to nano physics and quantum size effect. Dimensionalities and

density of states. Optical and transport properties of two-dimensional electron

gas formed at heterostructures and within novel graphene monolayers with

external fields. Quantum Hall Effects. Physics of one-dimensional electron

systems including carbon nanotubes and semiconductor nanowires.

Fundamental physics of zero-dimensional electron systems. Single electron

effects. Quantum dots and nanocrystals. Fundamental principles and

applications of scanning tunneling microscopy in the study of nano physics. If

time permits, the making and application aspects of nanomaterials will also

be discussed.

Course Learning

Outcomes

On successful completion of this course, students should be able to:

1. recall basic concepts and knowledge of dimensionality, density of

states, quantum size effect

2. identify and compare optical and transport properties of

two-dimensional electron gas with external fields, especially quantum

Hall effects

3. recognize the fundamental principles and important applications of

scanning tunneling microscopy in the study of nano physics

4. describe the basic physics of one-dimensional electron systems

including carbon nanotubes and semiconductor nanowires

5. understand the central physics of zero-dimensional quantum dots and

nanocrystals, single electron effects

Pre-requisites

(and Co-requisites

and

Impermissible

combination)

---

Offer in 2019 - 2020 N Examination ---

Offer in 2020 - 2021 N

Course Grade Pass/Fail

Grade Descriptors Pass Demonstrate thorough mastery at an advanced level of extensive knowledge and skills

required for attaining all the course learning outcomes. Show strong analytical and

critical abilities and logical thinking, with evidence of original thought, and ability to

apply knowledge to a wide range of complex, familiar and unfamiliar situations. Apply

highly effective organizational and presentational skills. Apply highly effective lab

skills and techniques. Critical use of data and results to draw appropriate and insightful

conclusions.

Fail Demonstrate little or no evidence of command of knowledge and skills required for

attaining the course learning outcomes. Lack of analytical and critical abilities, logical

and coherent thinking. Show very little or no ability to apply knowledge to solve

problems. Organization and presentational skills are minimally effective or ineffective.

Course Type Lecture-based elective course

Course Teaching

& Learning Activities

Activities Details No. of Hours

Lectures 36

Tutorials 12

Reading / Self study 80

Assessment Methods

and Weighting

Methods Details Weighting in

final

course grade (%)

Assignments 10

Essay 20

Examination 70

Required/recommend

ed reading

and online materials

Lecture notes prepared by Course Coordinator

Additional Course

Information

---

First Semester

Time MON TUE WED THU FRI

08:30 -

09:20

PHYS8201

LE 7

PHYS8201

MB 141

09:30 -

10:20

PHYS1650A

MW T2

PHYS3351

MW T3

PHYS3750

MW 103

PHYS7450/

PHYS8450

LE 3

PHYS8201

LE 7

PHYS1650A

MW T2

PHYS3351

MW T3

PHYS8201

MB 141

PHYS3750

MW 103

PHYS7450/

PHYS8450

LE 3

10:30 -

11:20

PHYS1650A

MW T2

PHYS3351

MW T3

PHYS2265A

KK LG104

PHYS7750/

PHYS8750

MW 103

PHYS1150A

MW T1

PHYS2261

CYP P2

PHYS4450

MW 325

PHYS3750

MW 103

PHYS7450/

PHYS8450

LE 3

11:30 -

12:20

PHYS1150A

CYP P4

PHYS2261

CYP P2

PHYS4450

MW 325

PHYS2265A

KK LG104

PHYS7750/

PHYS8750

MW 103

PHYS1150A

MW T1

PHYS2261

CYP P2

PHYS4450

MW 325

PHYS2265A

KK LG104

PHYS7750/

PHYS8750

MW 103

12:30 -

13:20

PHYS1250A

CYP P4

PHYS2250A

CPD LG.34

PHYS4551

MW 325

PHYS1250A

CYP P4

PHYS2250A

CPD LG.34

PHYS4551

MW 325

13:30 -

14:20

PHYS1250A

CYP P4

PHYS2250A

CPD LG.34

PHYS3650

MB 141

PHYS3151

MB 151

PHYS4450

MW 325

PHYS4551

MW 325

Time MON TUE WED THU FRI

14:30 -

15:20

PHYS3151

MB 151

PHYS4550

MW 325

PHYS8552

KK LG106

PHYS3650

MB 141

PHYS3151

MB 151

PHYS4550

MW 325

PHYS1056

CYP P4

PHYS3650

MB 141

15:30 -

16:20

PHYS3350

MW T7

PHYS8552

KK LG106

PHYS4654/

PHYS8654

CYC P1

PHYS3350

MW T7

PHYS1056

CYP P4

PHYS4654/

PHYS8654

CYC P1

16:30 -

17:20

PHYS3350

MW T7

PHYS8552

KK LG106

PHYS2150

JL G03

PHYS3660

MW 325

PHYS2055

MW T6

PHYS4655

MW 325

PHYS1056

CYP P4

PHYS4654/

PHYS8654

CYC P1

17:30 -

18:20

PHYS2055

MW T6

PHYS4655

MW 325

PHYS2150

JL G03

PHYS3660

MW 325

PHYS2055

MW T6

PHYS4655

MW 325

PHYS2150

JL G03

PHYS3660

MW 325

STAT6005 Special studies in statistics (to be offered in both 1st and 2nd semesters) The aim of the course is to introduce students to the topics which are of relevance to their research study but have not been taken previously. Students will be instructed to attend one course or a combination of courses from the department as prescribed by the supervisor(s) and approved by the Chairman of the Departmental Research Postgraduate Committee. Alternately this course may consist of supervised reading supplemented by written work and prescribed coursework.

Students are permitted to replace this course by another RPG course from the MPhil/PhD curricula offered by other Departments, subject to the approval of the Departmental Research Postgraduate Committee.

STAT6008 Advanced statistical inference (to be offered in 1st semester) This course covers the advanced theory of point estimation, interval estimation and hypothesis testing. Using a mathematically-oriented approach, the course provides a formal treatment of inferential problems, statistical methodologies and their underlying theory. It is suitable in particular for students intending to further their studies or to develop a career in statistical research. Contents include: (1)Decision problem – frequentist approach: loss function; risk; decision rule; admissibility; minimaxity; unbiasedness; Bayes’ rule; (2)Decision problem – Bayesian approach: prior and posterior distributions, Bayesian inference; (3) Estimation theory: exponential families; likelihood; sufficiency; minimal sufficiency; completeness; UMVU estimators; information inequality; large-sample theory of maximum likelihood estimation; (4) Hypothesis testing: uniformly most powerful (UMP) test; monotone likelihood ratio; UMP unbiased test; conditional test; large-sample theory of likelihood ratio; confidence set; (5) Nonparametric inference; bootstrap methods.

Assessment: One 2-hour written examination; 40% coursework, 60% examination.

STAT6011 Computational statistics (to be offered in 1st semester) This course aims to give postgraduate students in statistics a background in modern computationally intensive methods in statistics. It emphasizes the role of computation as a fundamental tool of discovery in data analysis, of statistical inference, and for development of statistical theory and methods. Contents include: Bayesian statistics, Markov chain Monte Carlo methods including Gibbs sampler, the Metropolis-Hastings algorithm, and data augmentation; Generation of random variables including the inversion methods, rejection sampling, the sampling/importance resampling method; Optimization techniques including Newton’s method, expectation-maximization (EM) algorithm and its variants, and minorization-maximization (MM) algorithms; Integration including Laplace approximations, Gaussian quadrature, the importance sampling method; and other topics such as Hidden Markov models, neural networks, and Bootstrap methods.

Assessment: One 2-hour written examination; 50% coursework, 50% examination.

5T,\T6009 Research methods in statistics (COMPULSORY)This course includes two modules.

The first module, Asymptotic Statistics, inffoduces some fundamental tools inasymptotic statistics which potential gradtate students will find useful inpteparngfor work on a research degree in statistics. Focus is on applications ofstate-of-the-art statistical techniques and their underlying theory. Contents maybe selected from: 1) Modes of stochastic convergence; 2) Lrrnit theorems; 3)Stochastic orders and the deltamethod; 4) Order statistics and sample quantiles:5) M-estimator, Z-estimator and the maximum likelihood estimator; 6) Non-parametric estimation of distributions; 7) U-statistics and projection estimators;8) Other topics as determined by the instructor.

The second module, High-dimensional Statistics, introduces some fundamentaltools in high-dimensional statistics. Focus is on applications of state-of-the-artstatistical techniques and their underlying theory. Contents may be selectedfrom: 1) Curse of the dimension;2) Estimation of high-dimensional means; 3)Estimation of high-dimensional covariance matrix; ) High-dimensional PCA;5) Higlr-dimensional regression; 6) High-dimensional factor models; 7)Compressed sensing; 8) Other topics as determined by the instructor.

Assessrnent: One 2-hour written examination; 25% coursework, 75% examination.

5T,4.T60 I 0 Advanced probabilityThis course provides an inffoduction to measure theory and probability. Thecourse will focus on some basic concepts in theoretical probability which areimportant for students to do research in actuarral science, probability andstatistics. Contents include: sigma-algebra, measurable space, measure andprobability, measure space andprobability space, measurable functions, randomvariables, tntegration theory, characteristic functions, convergence of randomvariables, conditional expectations, martingales.

Assessment: one 2-hour witten examination; 25% coursework, 75% examination.

Course(s) open for RPg students of other Faculties (Semester 1, 2020-21) Faculty of Social Sciences The University of Hong Kong Last update: August 7, 2020

Course Code Course Title

Level (RPG/TPG) RPG: for research postgraduates; TPG: for taught postgraduates

Prerequisites (if any)

Quota for Students of other Faculties

Course URL Contact Person (if applicable)

Remarks (if any) (Please specify here if the medium of instruction is NOT English.)

PSYC6010 Conceptual & methodological issues in psychological research I

RPG Bachelor degree, major in Psychology

2 https://psychology.hku.hk/research-degrees-mphil-phd/

Judy Lam [email protected] -

PSYC7022 Postgraduate seminar in social psychology RPG

Bachelor degree, major in Psychology

3 Same as above Judy Lam [email protected] -

SOCI6008 Modern Theory and Sociological Analysis RPG NA 5

https://sociology.hku.hk/courses/soci6008-modern-theory-sociological-analysis/

Connie Ko [email protected] -

SOCI6011 Ethnographic Research Methods RPG NA 5

https://sociology.hku.hk/courses/soci6011-ethnographic-research-methods/

Connie Ko [email protected] -

SOCI6012 Classical Social Theory RPG NA 5

https://sociology.hku.hk/courses/soci6012-classical-social-theory/

Connie Ko [email protected] -

IHSS6001 Research Seminar on East Asian Culture RPG NA 5

https://www.hkihss.hku.hk/en/teaching/courses-offering-in-2020-21/

Ms. Hilson Ng, [email protected] -

PSYC6010 – Conceptual and Methodological Issues in Psychological Research I First semester course, put on especially for 1st year postgraduate students, covering the basic research techniques used in psychological research. Topics include various data collection and data analysis techniques. Students in this course will learn how to design, conduct, analyze and report psychological research; and to evaluate other people’s research critically. Assessment: 100% coursework Day of Class Every Mondays Time Lecture: 2:30 - 3:50 pm

Lab: 4:30 - 5:50 pm Venue Lecture: CPD-3.41

Lab: CPD-3.41 Course Instructor Dr Jeff Saunders

PSYC7022 – Postgraduate Seminar in Social Psychology This seminar course will cover recent developments in the field of Social Psychology, concentrating particularly on theoretical debates and empirical results that are likely to have considerable impact on the field. Theoretical and empirical articles will be read each week, and discussed in class. Discussions will be led by both the instructor and students in the class. Assessment: 100% coursework Day of Class Every ThursdaysTime 4.30 – 5.50 pm Venue EH101 Course Instructor Dr Xiaoqing Hu

SOCI6008 - Modern Theory and Sociological Analysis This course is designed to provide an overview of the contemporary sociological theories starting from the 1920s, by that time all the great classical thinkers (including Emile Durkheim, Karl Marx and Max Weber) had passed from the scene, and new theorists were beginning to replace them. We start with key questions about why social theorists speculate and develop theories; how these theories deal with various aspects of the social world – from the most exalted to the most mundane; how they do their theorizing based on the work of their forebears and rigorous empirical data; and the applicability of a wide array of modern social theories in our social realities and relationships. As contemporary sociological theory encapsulates a massive body of work, in building the syllabus I have tried to strike a balance between breadth and depth and provided space for student interests. You all come to this course with areas of interest and some background in theory. As your central theory course, my goal is to familiarize everyone with a selected sample of contemporary sociological theories, help you become acquainted with the various theoretical perspectives that have shaped the discipline of sociology, acquire a structural understanding of sociological theory and its trajectory within our discipline, gain insights into the process of formulating empirical research in a theoretically appropriate and cogent way, and establish your identities as sociologists. Following a thematic sequence, we will first revisit the key ideas by numerous classical social theorists, then we go on to discuss and evaluate a variety of contemporary theories who have come to form the sociological canon and respectively focus on (i) the macro-level structures and institutions of society, (ii) the micro-level phenomena associated with everyday life, and (iii) the meso-level integrative

analysis seeking to combine the two. While we will cover important works by a wide array of social thinkers, this course is not merely about their “canonical ideas” but organized accordingly around the logics and interconnections of such ideas. In addition to becoming acquainted with the work of specific social thinkers, we will see how persistent theoretical issues in sociology have been explained and reformulated; learn about strategies to mediate, reconcile, and apply differing sociological viewpoints; and be able to critically evaluate the accuracy and value of very different theoretical approaches. Course learning outcomes - Map out the major trends of modern social theory and develop their own responses to the question

of “what is theory and how theory can be useful?”; - Reflectively evaluate the strengths and weaknesses of each theoretical school and to investigate

their relevance to social reality and empirical analyses; - Improve their analytical skills through group discussion and paper writing; - Synthesize theory with practice and acquire the tools required to be a social theorist. Assessment: 100% coursework Day of Class Every Tuesdays Time 1:30 – 4:20 pm Venue CPD-2.58 Course Instructor Dr Tommy Tse

SOCI6011 - Ethnographic Research Methods The course will begin with a discussion of the common ground and the difference between quantitative and qualitative methods in social science research. It will present the scientific base of qualitative research, the logic of ethnographic methods, and the practical skills of data collection. Methodological concerns like case study, theoretical sampling, theory building, interpretation, ethical and political issues will be discussed. Students will be coached to acquire the technical skills of participant observation, interviewing, fieldnote writing, coding, and writing up proposal and paper. This course will be conducted as a seminar with practicum. Students are expected to participate actively in classroom discussion and activities. Assessment: 100% coursework Dates of Class Every Thursdays

Sep 3,10, 17, 24, 2020 Oct 3 (Saturday), 8, 22, 29, 2020 Nov 5, 12, 19, 26, 2020

Time 2:30 – 4:20 pm Venue CJT-9.29 Course Instructor Dr Cheris Chan

SOCI6012 - Classical Social Theory This course is an introduction to some formative ideas of classical sociology. We will study these ideas in relation to one-another, as well as in relation to the historical contexts in which they arose. We will think about how these ideas fit into their original circumstances, and how they remain relevant to our lives today. The work of the course involves reading a selection of classic texts, and applying them to discussion of our contemporary experience. This discussion will be oriented by two overarching themes: the idea that human beings are social subjects, and the idea that human beings are capable of social progress. Assessment: 100% coursework Dates of Class Every WednesdaysTime 2:30 – 4:20 pm Venue Online teaching Course Instructor Professor Karen Laidler

Venues: CPD (Central Podium, Centennial Campus) CJT (Centennial Campus, Jockey Club Tower) EH (Eliot Hall)