Bachelor of Engineering Honours (Software)
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Software Engineering Stream |
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| Completion of a stream is a requirement of the Bachelor of Engineering Honours. | |||
| Students complete 192 credit points comprising: | |||
| (a) 36 credit points from the Engineering Core Table, including all required units | |||
| (b) 102 credit points of Stream Core units | |||
| (c) A minimum of 42 credit points of Specialist units, including: | |||
| – no more than 18 credit points of Fundamental units | |||
| (d) A maximum of 12 credit points from the Engineering General Elective table | |||
| (e) the requirements of the Professional Engagement Program. | |||
| Candidates enrolled in the combined degree must complete a minimum of 144 credit points for the Bachelor of Engineering Honours component, comprising: | |||
| (a) 36 credit points from the Engineering Core Table, including all required units | |||
| (b) 102 credit points of Stream Core units | |||
| (c) 6 credit points of Software Specialist Elective units | |||
| (d) the requirements of the Professional Engagement Program. | |||
Stream Core units |
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| Complete all 102 credit points of the following units of study: | |||
| ELEC1601 Introduction to Computer Systems |
6 | A HSC Mathematics extension 1 or 2 |
Semester 2 |
| INFO1110 Introduction to Programming |
6 | N INFO1910 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905 |
Semester 1 Semester 2 |
| INFO1113 Object-Oriented Programming |
6 | P INFO1110 OR INFO1910 N INFO1103 OR INFO1105 OR INFO1905 Note: Department permission required for enrolment in the following sessions:Intensive January |
Intensive January Semester 1 Semester 2 |
| COMP2017 Systems Programming |
6 | P INFO1113 OR INFO1105 OR INFO1905 OR INFO1103 C COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 N COMP2129 OR COMP9017 OR COMP9129 |
Semester 1 |
| COMP2123 Data Structures and Algorithms |
6 | P INFO1110 OR INFO1910 OR INFO1113 OR DATA1002 OR DATA1902 OR INFO1103 OR INFO1903 N INFO1105 OR INFO1905 OR COMP2823 |
Semester 1 |
| ISYS2110 Analysis and Design of Web Info Systems |
6 | P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 N INFO2110 |
Semester 1 |
| ISYS2120 Data and Information Management |
6 | A Programming skills P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 OR INFO1003 OR INFO1903 OR DECO1012 N INFO2120 OR INFO2820 OR COMP5138 |
Semester 2 |
| MATH2069 Discrete Mathematics and Graph Theory |
6 | P 6 credit points of Junior Mathematics units N MATH2011 or MATH2009 or MATH2969 |
Semester 1 |
| SOFT2201 Software Construction and Design 1 |
6 | P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 N INFO3220 OR COMP9201 |
Semester 2 |
| SOFT2412 Agile Software Development Practices |
6 | P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 N COMP9412 |
Semester 2 |
| ELEC3609 Internet Software Platforms |
6 | P (INFO1103 OR INFO1110 OR INFO1910) AND (INFO2110 OR ISYS2110) AND (INFO2120 OR INFO2820 OR ISYS2120) N EBUS4001 |
Semester 2 |
| INFO3616 Principles of Security and Security Eng |
6 | A (INFO1110 OR INFO1910) AND INFO1112 AND INFO1113 AND MATH1064. 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 |
Semester 2 |
| SOFT3202 Software Construction and Design 2 |
6 | P SOFT2201 N INFO3220 |
Semester 1 |
| SOFT3888 Software Development Project |
6 | A SOFT3202 P [18CP 2000-level or above units from SOFT or COMP or INFO] N SOFT3413 |
Semester 2 |
| COMP5348 Enterprise Scale Software Architecture |
6 | A It is assumed that students will have experience with software development as covered in SOFT2412 or COMP9103 and also COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). |
Semester 1 |
| 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. |
Semester 1 |
| ELEC5619 Object Oriented Application Frameworks |
6 | A Java programming, and some web development experience are essential. Databases strongly recommended |
Semester 2 |
Specialist Fundamental units |
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| Complete up to a maximum of 18 credit points from the following units: | |||
| COMP2922 Models of Computation (Adv) |
6 | A (MATH1004 OR MATH1904 OR MATH1064 OR MATH2069 OR MATH2969) AND (INFO1105 OR INFO1905 OR COMP2123 OR COMP2823) P Distinction level result in INFO1103 OR INFO1903 OR INFO1113 N COMP2022 |
Semester 2 |
| DATA1001 Foundations of Data Science |
6 | N DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 |
Semester 1 Semester 2 |
| DATA1002 Informatics: Data and Computation |
6 | N INFO1903 OR DATA1902 |
Semester 2 |
| DATA1902 Informatics: Data and Computation (Advanced) |
6 | A This unit is intended for students with ATAR at least sufficient for entry to the BSc/BAdvStudies(Advanced) stream, or for those who gained Distinction results or better, in some unit in Data Science, Mathematics, or Computer Science. Students with portfolio of high-quality relevant prior work can also be admitted. N INFO1903 OR DATA1002 Note: Department permission required for enrolment |
Semester 2 |
| DATA2001 Data Science: Big Data and Data Diversity |
6 | P DATA1002 OR DATA1902 OR INFO1110 OR INFO1910 OR INFO1903 OR INFO1103 N DATA2901 |
Semester 1 |
| DATA2002 Data Analytics: Learning from Data |
6 | A Basic linear algebra and some coding for example MATH1014 or MATH1002 or MATH1902 and DATA1001 or DATA1901 P [DATA1001 or ENVX1001 or ENVX1002] or [MATH10X5 and MATH1115] or [MATH10X5 and STAT2X11] or [MATH1905 and MATH1XXX (except MATH1XX5)] or [BUSS1020 or ECMT1010 or STAT1021] N STAT2012 or STAT2912 or DATA2902 |
Semester 2 |
| DATA2901 Big Data and Data Diversity (Advanced) |
6 | P DATA1002 OR DATA1902 OR INFO1110 OR INFO1903 OR INFO1103. Students need Distinction or better in one of the prerequisite units. N DATA2001 |
Semester 1 |
| ELEC1004 Practical Intro to Electrical Engineering |
6 | A HSC Physics and Mathematics |
Semester 2 |
| ELEC1103 Fundamentals of Elec and Electronic Eng |
6 | A Basic knowledge of differentiation and integration, and PHYS1003 |
Semester 1 |
| ELEC2103 Simulation and Numerical Solutions in Eng |
6 | A ELEC1103. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics. N COSC1001 or COSC1901 |
Semester 2 |
| ELEC2104 Electronic Devices and Circuits |
6 | A ELEC1103. Ohm's Law and Kirchoff's Laws; action of Current and Voltage sources; network analysis and the superposition theorem; Thevenin and Norton equivalent circuits; inductors and capacitors, transient response of RL, RC and RLC circuits; the ability to use power supplies, oscilloscopes, function generators, meters, etc. |
Semester 2 |
| ELEC2302 Signals and Systems |
6 | A (MATH1001 OR MATH1021) AND MATH1002 AND (MATH1003 OR MATH1023). Basic knowledge of differentiation & integration, differential equations, and linear algebra. |
Semester 2 |
| ELEC2602 Digital Logic |
6 | A ELEC1601. This unit of study assumes some knowledge of digital data representation and basic computer organisation |
Semester 1 |
| INFO1110 Introduction to Programming |
6 | N INFO1910 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905 |
Semester 1 Semester 2 |
| 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 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| 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 |
Semester 2 |
| ISYS2160 Information Systems in the Internet Age |
6 | A INFO1003 OR INFO1103 OR INFO1903 OR INFO1113 N ISYS2140 |
Semester 2 |
| MATH2061 Linear Mathematics and Vector Calculus |
6 | P (MATH1X21 or MATH1011 or MATH1931 or MATH1X01 or MATH1906) and (MATH1014 or MATH1X02) and (MATH1X23 or MATH1933 or MATH1X03 or MATH1907) N MATH2961 or MATH2067 or MATH2021 or MATH2921 or MATH2022 or MATH2922 This unit of study is only available to Faculty of Engineering and Information Technologies students. |
Intensive January Semester 1 |
| MKTG1001 Marketing Principles |
6 |
The Intensive January and July sessions of this unit are only available to Study Abroad students. All other students should enrol in Semester 1 and Semester 2 sessions. |
Intensive January Intensive July Semester 1 Semester 2 |
| PHYS1001 Physics 1 (Regular) |
6 | A HSC Physics or PHYS1003 or PHYS1004 or PHYS1902 or equivalent. Students who have not completed HSC Physics (or equivalent) are strongly advised to take the Physics Bridging Course (offered in February). Students are also encouraged to take (MATH1X21 or MATH1931 or MATH1X01 or MATH1906) and MATH1X02 concurrently. N PHYS1002 or PHYS1901 or EDUH1017 or PHYS1903 |
Intensive July Semester 1 |
| PHYS1003 Physics 1 (Technological) |
6 | A HSC Physics or PHYS1001 or PHYS1002 or PHYS1901 or equivalent. Students who have not completed HSC Physics (or equivalent) are strongly advised to take the Physics Bridging Course (offered in February). Students are also encouraged to take (MATH1X23 or MATH1933 or MATH1X03 or MATH1907) and MATH1X05 concurrently. C Recommended Co-requisites: (MATH1003 or MATH1903) and (MATH1005 or MATH1905). N PHYS1004 or PHYS1902 or PHYS1904 It is recommended that PHYS1001 or PHYS1002 or PHYS1901 be completed before this unit |
Intensive August Semester 2 |
| PHYS2213 Physics 2EE |
6 | A (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (MATH1X02) and (MATH1X23 or MATH1933 or MATH1X03 or MATH1907 or MATH1013) and (MATH1X04 or MATH1X05) P (PHYS1001 or PHYS1901) and (PHYS1003 or PHYS1902) |
Semester 2 |
| SOFT2201 Software Construction and Design 1 |
6 | P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 N INFO3220 OR COMP9201 |
Semester 2 |
| SOFT2412 Agile Software Development Practices |
6 | P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 N COMP9412 |
Semester 2 |
Specialist Elective units |
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| Complete a minimum of 30 credit points from the following units: | |||
| Note: A maximum of 12 credit points can be selected from the Engineering General Elective Table. | |||
| COMP3308 Introduction to Artificial Intelligence |
6 | A Algorithms. Programming skills (e.g. Java, Python, C, C++, Matlab) N COMP3608 |
Semester 1 |
| COMP3419 Graphics and Multimedia |
6 | A Programming skills P COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 |
Semester 2 |
| COMP3520 Operating Systems Internals |
6 | P (COMP2017 OR COMP2129) AND (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905) |
Semester 2 |
| COMP3608 Introduction to Artificial Intelligence (Adv) |
6 | A Algorithms. Programming skills (e.g. Java, Python, C, C++, Matlab) P 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). |
Semester 1 |
| COMP5045 Computational Geometry |
6 | A It is assumed that students will have experience with data structure and algorithms as covered in COMP9103 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5047 Pervasive Computing |
6 | A ELEC1601 AND (COMP2129 OR COMP2017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials. Note: Department permission required for enrolment |
Semester 2 |
| COMP5048 Visual Analytics |
6 | A It is assumed that students will have experience with data structure and algorithms as covered in COMP9103 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). Note: Department permission required for enrolment in the following sessions:Semester 1 |
Semester 1 Semester 2 |
| COMP5206 Information Technologies and Systems |
6 | Semester 1 Semester 2 |
|
| COMP5216 Mobile Computing |
6 | A COMP5214 OR COMP9103. Software Development in JAVA, or similar introductory software development units. |
Semester 2 |
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| COMP5338 Advanced Data Models |
6 | A This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1). |
Semester 2 |
| COMP5415 Multimedia Design and Authoring |
6 | A It is assumed that students will have experience with software development as covered in SOFT2412 or COMP9103 (or equivalent UoS from different institutions). |
Semester 2 |
| COMP5416 Advanced Network Technologies |
6 | A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116 |
Semester 2 |
| COMP5424 Information Technology in Biomedicine |
6 | A It is assumed that students will have experience with software development as covered in SOFT2412 or COMP9103 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5425 Multimedia Retrieval |
6 | A It is assumed that students will have experience with programming skills, as learned in COMP9103 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions). |
Semester 1 |
| COMP5426 Parallel and Distributed Computing |
6 | A It is assumed that students will have experience with algorithms design and software development as covered in (COMP2017 or COMP9017) and COMP3027 (or equivalent UoS from different institutions). |
Semester 1 |
| DATA3404 Data Science Platforms |
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 |
Semester 1 |
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC3104 Engineering Electromagnetics |
6 | A Differential calculus, integral calculus, vector integral calculus; electrical circuit theory and analysis using lumped elements; fundamental electromagnetic laws and their use in the calculation of static fields. |
Semester 1 |
| ELEC3203 Electricity Networks |
6 | A This unit of study assumes a competence in 1000 level MATH (in particular, the ability to work with complex numbers), in elementary circuit theory and in basic electromagnetics. |
Semester 1 |
| ELEC3204 Power Electronics and Applications |
6 | A 1. Differential equations, linear algebra, complex variables, analysis of linear circuits. 2. Fourier theory applied to periodic and non-periodic signals. 3. Software such as MATLAB to perform signal analysis and filter design. 4. Familiarity with the use of basic laboratory equipment such as oscilloscope, function generator, power supply, etc. 5. Basic electric circuit theory and analysis P ELEC2104 |
Semester 1 |
| ELEC3206 Electrical Energy Conversion Systems |
6 | A Following concepts are assumed knowledge for this unit of study: familiarity with circuit theory, electronic devices, ac power, capacitors and inductors, and electric circuits such as three-phase circuits and circuits with switches, the use of basic laboratory equipment such as oscilloscope and power supply. P ELEC3203 |
Semester 2 |
| ELEC3304 Control |
6 | A Specifically the following concepts are assumed knowledge for this unit: familiarity with basic Algebra, Differential and Integral Calculus, Physics; solution of linear differential equations, Matrix Theory, eigenvalues and eigenvectors; linear electrical circuits, ideal op-amps; continuous linear time-invariant systems and their time and frequency domain representations, Laplace transform, Fourier transform. P ELEC2302 AND (MATH2061 OR MATH2067 OR MATH2021 OR MATH2961 OR AMME2000) N AMME3500 |
Semester 2 |
| ELEC3305 Digital Signal Processing |
6 | A Familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals. P ELEC2302 |
Semester 1 |
| ELEC3404 Electronic Circuit Design |
6 | A A background in basic electronics and circuit theory is assumed. |
Semester 1 |
| ELEC3405 Communications Electronics and Photonics |
6 | A ELEC2104. A background in basic electronics and circuit theory is assumed. |
Semester 2 |
| ELEC3505 Communications |
6 | P ELEC2302. Fourier transform, fundamental in signals and systems theory, convolution, and similar techniques. |
Semester 1 |
| ELEC3506 Data Communications and the Internet |
6 | Semester 2 |
|
| ELEC3607 Embedded Systems |
6 | A ELEC1601 AND ELEC2602. Logic operations, theorems and Boolean algebra, data representation, number operations (binary, hex, integers and floating point), combinational logic analysis and synthesis, sequential logic, registers, counters, bus systems, state machines, simple CAD tools for logic design, basic computer organisation, the CPU, peripheral devices, software organisation, machine language, assembly language, operating systems, data communications and computer networks. P ELEC1601 AND ELEC2602 |
Semester 1 |
| ELEC3608 Computer Architecture |
6 | A ELEC3607. Knowledge of microprocessor systems (embedded systems architecture, design methodology, interfacing and programming) is required. P ELEC2602 |
Semester 2 |
| ELEC3610 E-Business Analysis and Design |
6 | N EBUS3003 |
Semester 1 |
| ELEC3702 Management for Engineers |
6 | N ENGG3005 or MECH3661 |
Semester 2 |
| ELEC3802 Fundamentals of Biomedical Engineering |
6 | A ELEC2004 or ELEC2104 A knowledge of basic electrical engineering is required: Ohm's law, Thevenin and Nortons' theorems, basic circuit theory involving linear resistors, capacitors and inductors, a basic knowledge of bipolar and field effect transistor theory, simplified theoretical mechanism of operation of transformers. |
Semester 1 |
| ELEC3803 Bioelectronics This unit of study is not available in 2020 |
6 | P ELEC2104 OR ELEC2602. |
Semester 2 |
| ELEC4505 Digital Communication Systems |
6 | P ELEC3505 |
Semester 1 |
| ELEC5101 Antennas and Propagation |
6 | Semester 2 |
|
| ELEC5203 Topics in Power Engineering |
6 | A ELEC3203 Power Engineering and ELEC3204 Power Electronics and Drives. Familiarity with basic mathematics and physics; competence with basic circuit theory and understanding of electricity grid equipment such as transformers, transmission lines and associated modeling; and fundamentals of power electronic technologies. |
Semester 2 |
| ELEC5204 Power Systems Analysis and Protection |
6 | A (ELEC3203 OR ELEC9203 OR ELEC5732) AND (ELEC3206 OR ELEC9206 OR ELEC5734). The unit assumes basic knowledge of circuits, familiarity with basic mathematics, competence with basic circuit theory and an understanding of three phase systems, transformers, transmission lines and associated modeling and operation of such equipment. |
Semester 1 |
| ELEC5205 High Voltage Engineering |
6 | A The following previous knowledge is assumed for this unit. Circuit analysis techniques, electricity networks, power system fundamentals. P (ELEC3203 OR ELEC9203 OR ELEC5732) AND (ELEC3206 OR ELEC9206 OR ELEC5734) |
Semester 2 |
| ELEC5206 Sustainable Energy Systems |
6 | A Following concepts are assumed knowledge for this unit of study: familiarity with transformers, ac power, capacitors and inductors, electric circuits such as three-phase circuits and circuits with switches, and basic electronic circuit theory. |
Semester 2 |
| ELEC5207 Advanced Power Conversion Technologies |
6 | A ELEC3204 |
Semester 2 |
| ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
Semester 1 |
| ELEC5211 Power System Dynamics and Control |
6 | A The assumed knowledge for learning this UoS is a deep understanding on circuit analysis and its applications in power system steady state analysis. P ELEC3203 OR ELEC9203 OR ELEC5732 |
Semester 1 |
| ELEC5212 Power System Planning and Markets |
6 | A The assumed knowledge for learning this UoS is power system steady state analysis P ELEC3203 or ELEC9203 OR ELEC5732 |
Semester 2 |
| ELEC5304 Intelligent Visual Signal Understanding |
6 | A Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
Semester 1 |
| ELEC5306 Video Intelligence and Compression |
6 | A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++) |
Semester 1 |
| 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++) |
Semester 2 |
| ELEC5507 Error Control Coding |
6 | A Fundamental mathematics including probability theory and linear algebra. Basic knowledge on digital communications. Basic MATLAB programming skills is desired. |
Semester 1 |
| ELEC5508 Wireless Engineering |
6 | A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network. |
Semester 2 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor. |
Semester 1 |
| ELEC5510 Satellite Communication Systems |
6 | A Knowledge of error probabilities, analog and digital modulation techniques and error performance evaluation studied in ELEC3505 Communications and ELEC4505 Digital Communication Systems, is assumed. |
Semester 2 |
| ELEC5511 Optical Communication Systems |
6 | A (ELEC3405 OR ELEC9405) AND (ELEC3505 OR ELEC9505). Basic knowledge of communications, electronics and photonics - |
Semester 1 |
| ELEC5512 Optical Networks |
6 | A Knowledge of digital communications, wave propagation, and fundamental optics |
Semester 2 |
| ELEC5514 Networked Embedded Systems |
6 | A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508 |
Semester 2 |
| ELEC5516 Electrical and Optical Sensor Design |
6 | A Math Ext 1, fundamental concepts of signal and systems, fundamental electrical circuit theory and analysis |
Semester 1 |
| ELEC5517 Software Defined Networks |
6 | A ELEC3506 OR ELEC9506 |
Semester 2 |
| ELEC5616 Computer and Network Security |
6 | A A programming language, basic maths. |
Semester 1 |
| ELEC5620 Model Based Software Engineering |
6 | A A programming language, basic maths. |
Semester 2 |
| ELEC5622 Signals, Software and Health |
6 | Semester 2 |
|
| ELEC5701 Technology Venture Creation |
6 | N ENGG5102 |
Semester 2 |
| ENGG3800 Industry and Community Projects |
6 | A Upper-level disciplinary knowledge. Required knowledge will vary by project. Note: Department permission required for enrolment |
Intensive February Intensive July Semester 1 Semester 2 |
| INFO5301 Information Security Management |
6 | A This unit of study assumes foundational knowledge of Information systems management. Two year IT industry exposure and a breadth of IT experience will be preferable. |
Semester 1 |
| INFO5990 Professional Practice in IT |
6 | A Students enrolled in INFO5990 are assumed to have previously completed a Bachelor's degree in some area of IT, or have completed a Graduate Diploma in some area of IT, or have many years experience as a practising IT professional. The main focus of the subject is to provide students with the necessary tools, basic skills, experience and adequate knowledge so they develop an awareness and an understanding of the responsibilities and issues associated with professional conduct and practice in the information technology sector. This unit is for MIT, MITM, MIT/MITM students only. |
Semester 1 Semester 2 |
| INFO5991 Services Science Management and Engineering |
6 | A INFO5990. Students are expected to have a degree in computer science, engineering, information technology, information systems or business. |
Semester 2 |
| INFO5992 Understanding IT Innovations |
6 | P 24 credit points of units at 5000-level or above N PMGT5875 |
Semester 1 Semester 2 |
| INFO5993 IT Research Methods |
6 | N INFO4990 Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| INFO6007 Project Management in IT |
6 | A Students enrolled in INFO6007 are assumed to have previously completed a Bachelor's degree in some area of IT, or have completed a Graduate Diploma in some area of IT, or have three years experience as a practising IT professional. Recent work experience, or recent postgraduate education, in software project management, software process improvement, or software quality assurance is an advantage. N PMGT5871 |
Semester 1 Semester 2 |
| ISYS3402 Decision Analytics and Support Systems |
6 | A Database Management AND Systems Analysis and Modelling P (ISYS2110 OR INFO2110) AND (ISYS2120 OR INFO2120) |
Semester 2 |
| ISYS3888 Information Systems Project |
6 | P (INFO2110 OR ISYS2110) AND (INFO2120 OR ISYS2120) AND (ISYS2140 OR ISYS2160) N INFO3600 OR ISYS3207 OR ISYS3400 |
Semester 2 |
| ISYS5050 Knowledge Management Systems |
6 | A It is assumed that students will have good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9220 or COMP5206 (or equivalent UoS from different institutions). P COMP5206 OR ISYS2160 |
Semester 1 |
| SOFT3410 Concurrency for Software Development |
6 | P (INFO1105 OR INFO1905) OR ((INFO1103 OR INFO1113) AND (COMP2123 OR COMP2823)) |
Semester 2 |
For a standard enrolment plan for Software Engineering visit CUSP (https://cusp.sydney.edu.au).