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University Computer Science

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1 Programming Fundamentals 0 / 7

1.1 Values, types and input/output 1.2 Selection and conditionals 1.3 Iteration 1.4 Functions 1.5 Collections 1.6 Files and errors 1.7 Decomposition, testing and debugging

2 Discrete Mathematics 0 / 6

2.1 Logic and proofs 2.2 Sets, functions and relations 2.3 Induction and recursion 2.4 Counting and combinatorics 2.5 Graphs and trees 2.6 Discrete probability

3 Computer Systems Fundamentals 0 / 6

3.1 Binary and data encoding 3.2 Logic gates and digital building blocks 3.3 Processor and memory overview 3.4 Machine instructions 3.5 The operating-system interface 3.6 Compilation and execution path

4 Object-Oriented Programming 0 / 6

4.1 Objects and classes 4.2 Encapsulation 4.3 Composition and inheritance 4.4 Interfaces and polymorphism 4.5 Exceptions and error handling 4.6 Testing and design quality

5 Data Structures and Algorithms 0 / 7

5.1 Asymptotic analysis 5.2 Lists, stacks and queues 5.3 Hashing 5.4 Trees and heaps 5.5 Graphs and traversal 5.6 Sorting 5.7 Searching

6 Computer Architecture 0 / 6

6.1 Instruction set architecture 6.2 Datapath and control 6.3 Pipelining 6.4 Memory hierarchy 6.5 Input/output 6.6 Parallelism and performance

7 Operating Systems 0 / 6

7.1 Processes and threads 7.2 Scheduling 7.3 Synchronisation 7.4 Virtual memory 7.5 File systems 7.6 Protection and security

8 Databases 0 / 6

8.1 Relational modelling 8.2 Relational algebra and SQL 8.3 Normalisation 8.4 Indexes and query plans 8.5 Transactions and concurrency 8.6 Security and data governance

9 Computer Networks 0 / 7

9.1 Layering and architecture 9.2 Link layer and IP 9.3 Routing 9.4 Transport (TCP/UDP) 9.5 Application protocols 9.6 Network security 9.7 Distributed systems fundamentals

10 Algorithm Design and Analysis 0 / 6

10.1 Recurrences and analysis tools 10.2 Divide and conquer 10.3 Greedy algorithms 10.4 Dynamic programming 10.5 Graph optimisation 10.6 Reductions and NP-completeness

11 Theory of Computation and Compilers 0 / 6

11.1 Automata and regular languages 11.2 Context-free languages and parsing theory 11.3 Computability 11.4 Lexical analysis 11.5 Parsing 11.6 Semantic analysis and code generation

12 Software Engineering 0 / 7

12.1 Requirements 12.2 Architecture and design 12.3 HCI and accessibility 12.4 Version control and teamwork 12.5 Testing and continuous integration 12.6 Security and professional ethics 12.7 Team project

13 Artificial Intelligence and Machine Learning 0 / 7

13.1 Search 13.2 Knowledge and reasoning 13.3 Probability models 13.4 Regression and classification 13.5 Optimisation and learning 13.6 Evaluation and leakage 13.7 Fairness and limitations