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Enhancing my Degree - Coggle Diagram

- - - - CHATGPT suggests
        Computing Theory (COSC1107), Algorithms and Analysis (COSC2123), Artificial Intelligence (COSC1127), Interactive 3D Graphics and Animation (COSC1187), Secure Electronic Commerce (INTE1071), Unix Systems Administration and Programming (Linux) (COSC1133)
        
        Course Title: Computing Theory
        Week 1: Formal languages, Regular Expressions, Grammars, Week 2: Finite State Machines, Week 3: Pushdown Automata, Nondeterminism, Week 4: Turing Machines, Week 5: Computability, Halting Problem, Universal Turing Machines, Week 6: Pumping Lemma, NFA -> DFA conversion, Week 7: Chomsky Hierarchy, Week 8: Unrestricted Grammars, Week 9: Complexity and intractability, Week 10: NP-completeness,Week 11: Probabilistic algorithms, zero-knowledge proofs, quantum computing, Week 12: Research and requests
        
        Course Title: Artificial Intelligence
        Week 1: Introduction and Search, Week 2: Search (Basic search algorithm and Informed Search), Week 3: Adversarial Search and Game Playing, Week 4: Knowledge Representation (Propositional Logic), Week 5: Knowledge Representation and Reasoning (Predicate Calculus), Week 6: Automated Planning, Week 7 Reasoning Under Uncertainty (Probability), Week 8: Decision Making Under Uncertainty; MDPs, Week 9: Reinforcement Learning, Week 10: Reasoning Under Uncertainty (Bayesian Networks), Week 11: Review Probabilities, MDPs, RL & Bayesian Networks, Week 12: Practical Reasoning, Philosophical AI, Course Review
        
        Course Title: Algorithms and Analysis
        Week 1: Introduction & Problem Types, Week 2: Basic Data Structures & Algorithmic Analysis, Week 3: Algorithmic Analysis, Week 4: Brute Force, Week 5: Decrease & Conquer, Week 6: Divide & Conquer, Week 7: Transform & Conquer, Week 8: Dynamic Programming, Week 9: Greedy Techniques, Week 10: Iterative Improvement, Week 11: Time & Space Tradeoffs
        
        Course Title: Interactive 3D Graphics and Animation
        1 Introduction, drawing with OpenGL, 2 Graphics pipeline, procedural modelling and animation, 3 3D transformations and mouse/keyboard events, 4 3D modelling, 5 Lighting, blending and materials, 6 Story of computer graphics (video), 7 Texture mapping, sprites and billboarding, 8 Normals, 9 Performance and optimisation, 10 More 3D transforms and projection, 11 Perlin noise
        
        Week 1: Introduction to E-Commerce Technologies, Week 2: E-commerce Systems Architecture, Week 3: Basic Security Concept in E-Commerce, Week 4: Advanced Cryptography, Week 5: Trust in the Digital World, Week 6: Secure Electronic Payment Systems, Week 7: Case Study of Digital Cash, Week 8: Development of E-Commerce Systems, Week 9: Web Service and Security, Week 10: Infrastructure Security, Week 11: Secure Wireless Transactions
        
        Course Title: Unix Systems Administration and Programming (Linux)
        Introduction: Why Unix/Linux?, Operating System Review, Disk Formats and File Systems, Installation types for Unix and Linux Systems, (bare metal, Live, VMs, Windows Linux Subsystem, embedded systems etc.), Installing Software, Typical Software Applications, and application domains, The boot process, Networking, Scripting #1, Scripting #2, Scripting #3
    - - Introduction to Computer Science: This unit will provide a broad overview of computer science concepts and introduce you to programming languages such as Python or Java.
      - Data Structures and Algorithms: This unit covers the fundamental data structures used in computer science, such as linked lists, stacks, and trees, as well as the algorithms used to manipulate them.
      - Object-Oriented Programming: This unit covers the principles of object-oriented programming, including encapsulation, inheritance, and polymorphism.
      - Computer Networks: This unit covers the principles of computer networks, including network protocols, network architectures, and network security.
      - Operating Systems: This unit covers the principles of operating systems, including process management, memory management, and file systems.
      - Database Management Systems: This unit covers the principles of database management systems, including database design, data modeling, and data querying.
      - Software Engineering: This unit covers the principles of software engineering, including software design, testing, and maintenance.
    - - electives
        
        only need to pick one of the following
        
        COMP30024 Artificial Intelligence
        INFO30005 Advanced Interface Prototyping
        COMP30019 Graphics and Interaction
        COMP30026 Models of Computation
        SWEN30006 Software Modelling and Design
        COMP90087 The Ethics of Artificial Intelligence
        
        CHATGPT suggest
        COMP30019 Graphics and Interaction
        because of areas of simulation and visualization.
        Chat GPT also thinks that
        COMP30024 Artificial Intelligence
        is relevant in development of autonomous aircraft
        and SWEN30006 Software Modelling and Design
        for control systems for spacecraft.
        
        COMP30019 Graphics and Interaction
        2D and 3D computer graphics, Colour and illumination models, Raster and vector graphics, Geometric modelling, Rendering (shading) and visualisation, Geometric transformations (including projection), Computational matrix geometry and/or animation (kinematics), Interaction categories and styles (particularly graphical user interfaces), Usability and accessibility (including interaction for people with disabilities).
        
        COMP30024 Artificial Intelligence
        Agents and search, Probabilistic reasoning, Reinforcement Learning, Pattern recognition for robotics.
        Topics covered include: searching, problem solving, reasoning, knowledge representation and machine learning. Topics may also include some of the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and agent-based systems.
        
        SWEN30006 Software Modelling and Design
        This includes the development of static and dynamic models for aspects of both the problem space and the solution space. The emphasis here is on an Agile approach, and on techniques appropriate for object-oriented development.
        Analysis and modelling requirements, Developing, modelling and evaluating designs, Modelling using the Unified Modelling Language (UML), Software design processes and principles, Common design patterns and software architectures, Tools for design and development
        
        core
        
        COMP90048 Declarative Programming
        COMP90015 Distributed Systems
        COMP90049 Introduction to Machine Learning
        
        COMP90048 Declarative Programming
        The dangers of destructive update, Functional programming, Recursion, Strong type systems, Parametric polymorphism, Algebraic types, Type classes, Defensive programming practice, Higher order programming, Currying and partial application, Lazy evaluation, Monads, Logic programming, Unification and resolution; Nondeterminism, search, and backtracking
        
        COMP90015 Distributed Systems
        Sample projects are: approximate string matching for a translation memory, involving sorting and comparison of dynamic programming, branch-and-bound search and brute-force search using a variety of data structures (e.g. arrays, hash tables, tries); speech synthesis based on a pronouncing dictionary and pre-prepared grapheme-phoneme alignment data, based on parsing of the alignment data, hashing of variable length n-grams, and a variety of models for predicting the phoneme(s) associated with a given phoneme sequence (e.g. a simple unigram baseline or a hidden Markov model).
        
        COMP90049 Introduction to Machine Learning
        Machine Learning is the study of making accurate, computationally efficient, interpretable and robust inferences from data, often drawing on principles from statistics. This subject aims to introduce students to the intellectual foundations of machine learning, including the mathematical principles of learning from data, algorithms and data structures for machine learning, and practical skills of data analysis.
  - - - is this CAMP (Computer-Aided Manufacturing Process) or Civil Aviation Safety Authority? I THINK ITS THE FIRST ONE
    - - https://www.nasampe.org/members/group.aspx?code=australia