Credit points: 15

Subject outline

In this subject you will apply fundamental quantum physics to predict and explain the electronic and thermal properties of condensed matter. You will master mathematical and computational tools, which will allow you to solve difficult problems in quantum matter to a professional standard. This subject is available to postgraduate students as part of a group of physics electives that provides excellent preparation for a research degree.

SchoolMolecular Sciences

Credit points15

Subject Co-ordinatorAlex Schenk

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Must be admitted in one of the following courses: SZHSMN, SMNT or PSMSC


Incompatible subjectsPHY3PQM

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Analyse critically, reflect on and synthesise complex information, problems, concepts and theories related to physics of quantum matter.
02. Analyse, generate and transmit solutions to sometimes complex problems related to the physics of quantum matter.
03. Describe the recent developments in the field of quantum matter and identify areas which constitute interesting research problems.
04. Apply research principles and methods applicable to the physics of quantum matter.
05. Use standard technical software to implement computational solutions to problems too complex for analytical mathematical solutions.

Subject options

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Start date between: and    Key dates

Melbourne (Bundoora), 2021, Semester 1, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorAlex Schenk

Class requirements

LectureWeek: 10 - 22
Two 1.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

TutorialWeek: 11 - 22
One 1.00 h tutorial per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

WorkShopWeek: 11 - 22
Six 3.00 h workshop per study period on weekdays during the day from week 11 to week 22 and delivered via face-to-face.


Assessment elementCommentsCategoryContributionHurdle% ILO*
2-hour end of semester exam (2000 word equiv)N/AN/AN/ANo40 SILO1, SILO2
Four written assignments (2400 words in total) Solutions to short essay questions comprising both analytical and numerical (computational) solutions.N/AN/AN/ANo40 SILO1, SILO2, SILO5
One report on a research problem (1200 words)N/AN/AN/ANo20 SILO1, SILO2, SILO3, SILO4