Bachelor of Advanced Computing
Unit of study table
Bachelor of Advanced Computing |
|---|
| To qualify for the award of the Bachelor of Advanced Computing, a candidate must complete 192 credit points, comprising: |
| (a) 84 credit points of degree core units of study as set out in the table below; |
| (b) A major (48 credit points) from the list of majors from the table below; |
| (c) At least 24 credit points of 4000-level or higher electives from the table below; |
| (d) (Optionally) up to 12 credit points of units of study in the Open Learning Environment as listed in Table O in the Shared Pool for Undergraduate Degrees; |
| (e) (Optionally) a minor of 36 credit points or a second major of 48 credit points from Table S or Table A; |
| (f) Where appropriate, additional elective units from the table below or Table S in the Shared Pool for Undergraduate Degrees. |
Bachelor of Computing |
| To qualify for the award of the Bachelor of Computing, a candidate must complete 144 credit points, comprising: |
| (a) 78 credit points of degree core units as set out in the table below; |
| (b) A major (48 credit points) from the list of majors from the table below; |
| (c) (Optionally) up to 12 credit points of units of study in the Open Learning Environment as listed in Table O in the Shared Pool for Undergraduate Degrees; |
| (d) (Optionally) a minor of 36 credit points from Table S or Table A; or a second major from Table A |
| (e) Where appropriate, additional elective units from Table S or the table below. |
Streams |
| The available streams in the Bachelor of Advanced Computing are: |
| Dalyell |
| Achievement of the Dalyell stream requires: |
| (i) Completion of 12 credit points of Dalyell units as set out in Table S; |
| (ii) Admission on the basis of ATAR or first year WAM as determined by the Board of Interdisciplinary Studies; |
| (iii) Maintenance of the required WAM as determined by the Board of Interdisciplinary Studies. |
Majors |
| Table A majors available in this course are: |
| Computer Science |
| Computational Data Science |
| Cybersecurity |
| Software Development |
| Requirements from the majors are listed in the Majors tabs in this Handbook. |
Minors |
| Table A minors available in this course are: |
| Computer Science |
| Computational Data Science |
| Cybersecurity |
| Software Development |
| Requirements from the minors are listed alongside the major requirements in the Majors tabs in this Handbook. |
Honours |
| Entry into the Honours pathway is via application. Admission to the program requires a WAM of at least 65 and completion of at least one Table A major. |
| To be eligible for the award of Honours in the Bachelor of Advanced Computing, a candidate must complete the Honours pathway comprising 24 credit points of research-related units as listed below, and meet the performance levels as specified in clause 10 of the degree resolutions. |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
Degree Core |
||
| The degree core units of study required for this course are listed below. Candidates who exit at the third year do not complete the 4000-level degree core units and graduate with a Bachelor of Computing. | ||
1000-level units of study |
||
| DATA1001 Foundations of Data Science |
6 | A Year 10 mathematics or equivalent N DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 |
| DATA1901 Foundations of Data Science (Adv) |
6 |
A Year 10 Mathematics or equivalent; An ATAR of 95 or more N MATH1005 or MATH1905 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or MATH1115 or MATH1015 or STAT1021 |
| ELEC1601 Introduction to Computer Systems |
6 |
A HSC Mathematics extension 1 or 2 |
| INFO1110 Introduction to Programming |
6 |
N INFO1910 or INFO1103 or INFO1903 or INFO1105 or INFO1905 or ENGG1810 |
| INFO1111 Computing 1A Professionalism |
6 |
|
| INFO1112 Computing 1B OS and Network Platforms |
6 |
A A basic knowledge of Python is assumed. For most students, INFO1110 should have already been passed in Semester 1 C ELEC1601 and (INFO1110 or INFO1910 or INFO1103 or INFO1113) |
| INFO1113 Object-Oriented Programming |
6 |
P INFO1110 or INFO1910 or ENGG1810 N INFO1103 or INFO1105 or INFO1905 |
| INFO1910 Introduction to Programming (Advanced) |
6 |
A ATAR sufficient to enter Dalyell program, or passing an online programming knowledge test, which will be administered during the O-week prior to the commencement of the semester N INFO1110 or INFO1103 or INFO1903 or INFO1105 or INFO1905 or ENGG1810 |
| MATH1061 Mathematics 1A |
6 | A NSW HSC Extension 1 Mathematics or equivalent N MATH1901 or MATH1902 or MATH1921 or MATH1906 or MATH1931 or MATH1001 or MATH1021 or MATH1961 or MATH1971 or MATH1002 or MATH1014 |
| MATH1961 Mathematics 1A (Advanced) |
6 | A (HSC Mathematics Extension 2) or (Band E4 in HSC Mathematics Extensions 1) or equivalent N MATH1901 or MATH1902 or MATH1921 or MATH1906 or MATH1931 or MATH1001 or MATH1021 or MATH1061 or MATH1971 or MATH1002 or MATH1014 |
| MATH1064 Discrete Mathematics for Computation |
6 |
A Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics N MATH1004 or MATH1904 or MATH1964 |
| MATH1964 Discrete Mathematics (Advanced) |
6 | A (HSC Mathematics Extension 2) or (Band E4 in HSC Mathematics Extension 1) or equivalent N MATH1004 or MATH1904 or MATH1064 |
2000-level units of study |
||
| COMP2123 Data Structures and Algorithms |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P INFO1110 or INFO1910 or INFO1113 or DATA1002 or DATA1902 or ENGG1810 N INFO1105 or INFO1905 or COMP2823 |
| COMP2823 Data Structures and Algorithms (Adv) |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P Distinction level results in (INFO1110 or INFO1910 or INFO1113 or DATA1002 or DATA1902 or ENGG1810) N INFO1105 or INFO1905 or COMP2123 |
| INFO2222 Computing 2 Usability and Security |
6 |
P (INFO1103 or INFO1105 or INFO1905 or INFO1113) and (INFO1111 or INFO1711 or ENGG1111 or ENGD1000 or ENGG1805) |
| ISYS2120 Data and Information Management |
6 |
A 6 credit points of MATH or STAT units or DATA1001 P INFO1110 or INFO1910 or ENGG1810 or DATA1002 N INFO2120 or INFO2820 or COMP5138 |
| SOFT2412 Agile Software Development Practices |
6 |
P INFO1113 or INFO1103 or INFO1105 or INFO1905 N COMP9412 |
3000-level units of study |
||
| INFO3333 Computing 3 Management |
6 |
P 12 credit points of 2000-level units N INFO3402 or INFO6007 |
4000-level units of study |
||
| INFO4444 Computing 4 Innovation |
6 |
A Students should have knowledge of several different aspects of computing at the 3000-level P INFO3333 N INFO4990 or INFO5992 |
Honours Pathway core units |
||
| INFO4911 CS Research Thesis A |
6 |
P Enrolment in BAC Honours C INFO4990 INFO4911, INFO4912 and INFO4913 together form the Honours Research thesis. The thesis and presentation are for delivery in INFO4913 |
| INFO4912 CS Research Thesis B |
6 |
P Enrolment in BAC Honours C INFO4911 INFO4911, INFO4912 and INFO4913 together form the Honours Research thesis. The thesis and presentation are for delivery in INFO4913 |
| INFO4913 CS Research Thesis C |
6 |
P Enrolment in BAC Honours C INFO4912 and INFO4999 INFO4911, INFO4912 and INFO4913 together form the Honours Research thesis. The thesis and presentation are for delivery in INFO4913 |
| INFO4990 Computer Science Research Methods |
6 |
P Students must satisfy Honours admission requirements N INFO4444 or INFO5993 |
| INFO4999 Computer Science Honours Result |
0 | P Permission of the Head of Department |
| Students in the Honours pathway take INFO4911, INFO4912 and INFO4913 in place of 18 cp of 4000+ level electives, and INFO4990 in place of INFO4444. | ||
Electives |
||
1000-level units of study |
||
| INFO1911 IT Special Project 1A |
6 |
 |
| INFO1912 IT Special Project 1B |
6 |
 |
2000-level units of study |
||
| COMP2017 Systems Programming |
6 | A Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra (e.g. MATH1061 or equivalent) P INFO1113 or INFO1105 or INFO1905 or INFO1103 C COMP2123 or COMP2823 or INFO1105 or INFO1905 N COMP2129 or COMP9017 or COMP9129 |
| COMP2022 Models of Computation |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P INFO1110 or INFO1910 or INFO1113 or ENGG1810 C COMP2123 or COMP2823 N COMP2922 |
| COMP2922 Models of Computation (Adv) |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P Distinction level results in (INFO1110 or INFO1910 or INFO1113 or ENGG1810) C COMP2123 or COMP2823 N COMP2022 |
| DATA2001 Data Science, Big Data and Data Variety |
6 |
P DATA1002 or DATA1902 or INFO1110 or INFO1910 or INFO1903 or INFO1103 or ENGG1810 N DATA2901 |
| DATA2002 Data Analytics: Learning from Data |
6 |
A Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories P DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or MATH1062 or MATH1962 or MATH1972 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)] N STAT2012 or STAT2912 or DATA2902 |
| DATA2901 Big Data and Data Diversity (Advanced) |
6 |
P 75% or above from (DATA1002 or DATA1902 or INFO1110 or INFO1910 or INFO1903 or INFO1103 or ENGG1810) N DATA2001 |
| DATA2902 Data Analytics: Learning from Data (Adv) |
6 |
A Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories P A mark of 65 or greater in (DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or MATH1062 or MATH1962 or MATH1972 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)]) N STAT2012 or STAT2912 or DATA2002 |
| INFO2150 Introduction to Health Data Science |
6 |
A Basic knowledge of Entity Relationship Modelling, database technology and SQL P (INFO1003 or INFO1903 or INFO1103 or INFO1110 or INFO1910 or DATA1002 or DATA1902) and (DATA1001 or MATH1005 or MATH1905 or MATH1015 or BUSS1020) C DATA2001 or DATA2901 or ISYS2120 or INFO2120 or INFO2820 or INFO1903 |
| INFO2911 IT Special Project 2A |
6 |
P [85% average in IT units of study in previous year] and [Permission from the School of CS] |
| INFO2912 IT Special Project 2B |
6 |
P [85% average in IT units of study in previous year] and [Permission from the School of CS] |
| ISYS2110 Analysis and Design of Web Info Systems |
6 |
P INFO1113 or INFO1103 or INFO1105 or INFO1905 N INFO2110 |
| ISYS2160 Information Systems in the Internet Age |
6 |
A INFO1003 or INFO1103 or INFO1903 or INFO1113 N ISYS2140 |
| SOFT2201 Software Construction and Design 1 |
6 |
P INFO1113 or INFO1103 or INFO1105 or INFO1905 N INFO3220 or COMP9201 |
3000-level units of study |
||
| COMP3027 Algorithm Design |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP2123 or COMP2823 N COMP2007 or COMP2907 or COMP3927 |
| COMP3109 Programming Languages and Paradigms |
6 |
|
| COMP3221 Distributed Systems |
6 |
P (INFO1105 or INFO1905) or ((INFO1103 or INFO1113) and (COMP2123 or COMP2823)) N COMP2121 |
| COMP3308 Introduction to Artificial Intelligence |
6 |
A Data structures and algorithms as covered in COMP2123 or COMP2823. P INFO1110 or INFO1910 or ENGG1801 or ENGG1810 or DATA1002 or DATA1902 N COMP3608 |
| COMP3419 Graphics and Multimedia |
6 |
A Programming skills P COMP2123 or COMP2823 or INFO1105 or INFO1905 |
| COMP3520 Operating Systems Internals |
6 |
P (COMP2017 or COMP2129) and (COMP2123 or COMP2823 or INFO1105 or INFO1905) |
| COMP3608 Introduction to Artificial Intelligence (Adv) |
6 |
A Data structures and algorithms as covered in COMP2123 or COMP2823. P (INFO1110 or INFO1910 or ENGG1810 or DATA1002 or DATA1902) and distinction-level results in at least one 2000-level COMP or MATH or SOFT unit N COMP3308 COMP3308 and COMP3608 share the same lectures, but have different tutorials and assessment (the same type but more challenging). |
| COMP3888 Computer Science Project |
6 |
P (INFO1110 or INFO1910) and INFO1113 and (COMP2123 or COMP2823) and COMP2017 and (COMP2022 or COMP2922) N INFO3600 or COMP3600 or COMP3615 or COMP3988 |
| COMP3927 Algorithm Design (Adv) |
6 |
A Discrete mathematics and probability (e.g. MATH1064 or equivalent) P Distinction level results in COMP2123 or COMP2823 N COMP2007 or COMP2907 or COMP3027 |
| COMP3988 Computer Science Project (Advanced) |
6 |
P (INFO1110 or INFO1910) and INFO1113 and (COMP2123 or COMP2823) and COMP2017 and (COMP2022 or COMP2922) with Distinction level results in at least one of these units N INFO3600 or COMP3615 or COMP3600 or COMP3888 |
| CSEC3616 Cybersecurity Engineering |
6 |
P INFO1X10 and INFO1112 and INFO1113 and MATH1X64 N ELEC5616 or INFO2315 or INFO3616 |
| CSEC3888 Cybersecurity Project |
6 |
P (INFO1110 or INFO1910) and INFO1113 and (COMP2017 or COMP2907) and ISYS2120 C ELEC3506 N INFO3600 |
| DATA3404 Scalable Data Management |
6 |
A This unit of study assumes that students have previous knowledge of database structures and of SQL. The prerequisite material is covered in DATA2001 or ISYS2120. Familiarity with a programming language (e.g. Java or C) is also expected P DATA2001 or DATA2901 or ISYS2120 or INFO2120 or INFO2820 N INFO3504 or INFO3404 |
| DATA3406 Human-in-the-Loop Data Analytics |
6 |
A Basic statistics, database management, and programming P (DATA2001 or DATA2901) and (DATA2002 or DATA2902) |
| DATA3888 Data Science Capstone |
6 |
P DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012 |
| ENGG3800 Industry and Community Projects |
6 |
A Upper-level disciplinary knowledge. Required knowledge will vary by project. |
| INFO3315 Human-Computer Interaction |
6 | P 6 credit points of 1000-level programming units (INFO1110 or INFO1910 or INFO1113 or ENGG1810) and 12 credit points of 2000-level units from BAdvComp Table A |
| INFO3616 Principles of Security and Security Eng |
6 |
A (INFO1110 or INFO1910) and INFO1112 and INFO1113 and MATH1X64. Knowledge equivalent to the above units is assumed. This means good programming skills in Python or a C-related language, basic networking knowledge, and skills from discrete mathematics. A technical orientation is absolutely required, especially capacity to become familiar with new technology without explicit supervision N ELEC5616 or INFO2315 or CSEC3616 |
| INFO3911 IT Special Project 3A |
6 |
P [85% average in IT units of study in previous year] and [Permission from the School of CS] |
| INFO3912 IT Special Project 3B |
6 |
P [85% average in IT units of study in previous year] and [Permission from the School of CS] |
| ISYS3401 Information Technology Evaluation |
6 |
A MATH1005 or MATH1905 or MATH1062 or DATA1001 or DATA1901 P (INFO2110 or ISYS2110) and (INFO2120 or ISYS2120) and (ISYS2140 or ISYS2160) |
| ISYS3888 Information Systems Project |
6 |
P (INFO1110 or INFO1910) and INFO1113 and (INFO2110 or ISYS2110) and (INFO2120 or ISYS2120) and (ISYS2140 or ISYS2160) N INFO3600 or ISYS3207 or ISYS3400 |
| SOFT3202 Software Construction and Design 2 |
6 |
P SOFT2201 N INFO3220 |
| SOFT3410 Concurrency for Software Development |
6 |
P COMP2017 or COMP2129 |
| SOFT3888 Software Development Project |
6 |
A SOFT3202 P (INFO1110 or INFO1910 or ENGG1810) and INFO1113 and [18 credit points 2000-level or above units from SOFT or COMP or INFO] N SOFT3413 |
4000-level units of study |
||
| COMP4270 Randomised and Advanced Algorithms |
6 | A A major in a computer science area. Discrete mathematics and probability (e.g. MATH1064 or equivalent) P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP2123 or COMP2823) and (COMP3027 or COMP3927) N COMP5270 |
| COMP4445 Computational Geometry |
6 | A A major in a computer science area. Discrete mathematics and probability (e.g. MATH1064 or equivalent) P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP2123 or COMP2823) and (COMP3027 or COMP3927) N COMP5045 |
| COMP4446 Natural Language Processing |
6 | A A major in a computer science area. Knowledge of an OO programming language as covered in INFO1113 P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5046 |
| COMP4447 Pervasive Computing |
6 | A A major in a computer science area. ELEC1601 or COMP2129 or COMP2017. Any other background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5047 |
| COMP4448 Visual Analytics |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP2123 or COMP2823) N COMP5048 or OCMP5048 |
| COMP4216 Mobile Computing |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and INFO1113 N COMP5216 |
| COMP4313 Large Scale Networks |
6 | A A major in a computer science area. Algorithmic skills gained through units such as COMP2123 or COMP2823 or COMP3027 or COMP3927 or equivalent. Basic probability knowledge P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5313 |
| COMP4530 Discrete Optimisation |
6 | A A major in a computer science area. Discrete mathematics and probability (e.g. MATH1064 or equivalent) and Linear algebra (e.g. MATH1061 or equivalent) P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP2123 or COMP2823) and (COMP3027 or COMP3927) N COMP3530 or COMP5530 |
| COMP4318 Machine Learning and Data Mining |
6 | A A major in a computer science area. Experience with programming and data structures as covered in COMP2123 or COMP2823 or COMP9123 or equivalent. Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra and calculus (e.g. MATH1061 or equivalent) P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5318 or OCMP5318 |
| COMP4328 Advanced Machine Learning |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 C COMP3308 or COMP3608 or COMP4318 or [(INFO1110 or INFO1910 or Distinction result in ENGG1810) and Distinction results in MATHXXXX] N COMP5328 or OCMP5328 |
| COMP4329 Deep Learning |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (COMP3308 or COMP3608 or COMP4318 or BMET2925) N COMP5329 or OCMP5329 |
| COMP4338 Advanced Data Models |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (INFO2120 or INFO2820 or ISYS2120) N COMP5338 or OCMP5338 |
| COMP4347 Web Application Development |
6 | A A major in a computer science area. Foundation knowledge of JavaScript P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and ISYS2120 and SOFT2412 N COMP5347 |
| COMP4348 Enterprise Scale Software Architecture |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and SOFT2412 and (COMP2123 or COMP2823 or INFO1105 or INFO1905) N COMP5348 |
| COMP4349 Cloud Computing |
6 | A A major in a computer science area. Knowledge of OS concepts as covered in INFO1112 P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (INFO1110 or INFO1910 or ENGG1810 or DATA1002 or DATA1902) N COMP5349 or OCMP5349 |
| COMP4405 Digital Media Computing |
6 | A A major in a computer science area. Experience with programming skills as covered in INFO1113 or COMP2123 or COMP2823 or INFO1105 or INFO1905 or other similar units P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5405 or COMP5114 or COMP9419 |
| COMP4415 Multimedia Design and Authoring |
6 | A A major in a computer science area. Experience with software development as covered in SOFT2412 P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5415 |
| COMP4416 Advanced Network Technologies |
6 | A A major in a computer science area. COMP3221 or ELEC3506 P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5416 |
| COMP4424 Information Technology in Biomedicine |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5424 |
| COMP4425 Multimedia Retrieval |
6 | A A major in a computer science area. Experience with programming skills as covered in INFO1113 or COMP2123 or COMP2823 or INFO1105 or INFO1905 or other similar units P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5425 |
| COMP4426 Parallel and Distributed Computing |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5426 or OCMP5426 |
| COMP4427 Usability Engineering |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5427 |
| COMP4617 Empirical Security Analysis and Engineering |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and (CSEC3616 or INFO3616 or ELEC5616) N COMP5617 or OCMP5617 |
| COMP4618 Applied Cybersecurity |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N COMP5618 or OCMP5618 |
| DATA4207 Data Analysis in the Social Sciences |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N DATA5207 |
| HTIN4003 Health Technology Evaluation |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N HTIN5003 |
| HTIN4005 Applied Healthcare Data Science |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N HTIN5005 |
| HTIN4006 Foundations of Healthcare Data Science |
6 | A A major in a computer science area P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N HTIN5006 |
| INFO4001 Thesis A |
6 | P INFO3333 and {completion of the requirements of a major in Computational Data Science [DATA3888 and 12 credit points of (COMP3027 or COMP3927 or COMP3308 or COMP3608 or DATA3404 or DATA3406)] or Computer Science [(COMP3027 or COMP3927) and (COMP3888 or COMP3988) and 6 credit points of (COMP3109 or COMP3221 or COMP3308 or COMP3608 or COMP3419 or COMP3520)] or Cybersecurity (CSEC3616 and ELEC3506 and COMP3221 and CSEC3888) or Information Systems (ISYS3401 and (ISYS3402 or INFS3050) and ISYS3888) or Software Development [SOFT3202 and (SOFT3410 or INFO3315) and SOFT3888]} |
| INFO4002 Thesis B |
6 | P INFO4001 |
| INFO4406 Enterprise Healthcare Information Systems |
6 | A ISYS2120 P DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001 N INFO5306 |
| INFO4491 Services Science Management and Engineering |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and ISYS2160 N INFO5991 |
| ISYS4450 Knowledge Management Systems |
6 | A A major in a computer science area P (DATA3888 or COMP3888 or COMP3988 or CSEC3888 or SOFT3888 or ENGG3112 or SCPU3001) and ISYS2160 N ISYS5050 |
5000-level units of study |
||
| ELEC5306 Video Intelligence and Compression |
6 | A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5307 Advanced Signal Processing with Deep Learning |
6 | A Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 or ELEC9505 and ELEC3506 or ELEC9506. Basically, students need to know the concepts of data communications and mobile communications. If you are not sure, please contact the instructor |
| ELEC5514 IoT Wireless Sensing and Networking |
6 | A ELEC3305 and ELEC3506 and ELEC3607 and ELEC5508 |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths |
| ELEC5618 Software Quality Engineering |
6 | A Writing programs with multiple functions or methods in multiple files; design of complex data structures and combination in non trivial algorithms; use of an integrated development environment; software version control systems |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths |
| ISYS5070 Change Management in IT |
6 | A Basic knowledge of information systems as covered in (INFO6007 and COMP5206) or (ISYS2160 and INFO3333) (or equivalent UoS from different institutions) |
