ADVANCED PHYSICS OF QUANTUM MATTER

PHY5PQA

2020

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.

School: Molecular Sciences (Pre 2022)

Credit points: 15

Subject Co-ordinator: Alex Schenk

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

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

Co-requisites: N/A

Incompatible subjects: PHY3PQM

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/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.

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Alex Schenk

Class requirements

LectureWeek: 10 - 22
Two 1.00 hour 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 hour 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 hours workshop per study period on weekdays during the day from week 11 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

2-hour end of semester exam (2000 word equiv)

N/AN/AN/ANo40SILO1, SILO2

Four written assignments (2400 words in total)Solutions to short essay questions comprising both analytical and numerical (computational) solutions.

N/AN/AN/ANo40SILO1, SILO2, SILO5

One report on a research problem (1200 words)

N/AN/AN/ANo20SILO1, SILO2, SILO3, SILO4