DPT: Cognitive Science (BSc Hons) (UTCOGSCBS)

Jump to: Year 1, Year 2, Year 3, Year 4

Year 1 Academic year: 2018/19, Starting in: September

Before making your course choices, make sure you have discussed them with your Personal Tutor.

Compulsory courses

Informatics 1 - Object-Oriented Programming

Must be passed

Informatics 1 - Data and Analysis

Must be passed

Informatics 1 - Cognitive Science

Must be passed

Introduction to Linear Algebra

Must be passed

Informatics 1 - Introduction to Computation

Must be passed

Course options

Linguistics and English Language 1A

Linguistics and English Language 1B

Logic 1

Philosophy of Science 1

Introduction to Cognitive Science

Psychology 1A

Psychology 1B

Year 2 Academic year: 2018/19, Starting in: August

Before making your course choices, make sure you have discussed them with your Personal Tutor.

In addition to passing all compulsory courses, entry to Honours requires an average of 50%, achieved at first attempt, across Year 2 PPLS courses taken for degree; and passes in all these courses. If following Group B, 'Research Methods and Statistics' must be passed at 50% at the first attempt.

Compulsory courses

Informatics 2A - Processing Formal and Natural Languages

Must be passed

Course options

Informatics 2B - Algorithms, Data Structures, Learning

Informatics 2D - Reasoning and Agents

AND

Discrete Mathematics and Mathematical Reasoning

Probability with Applications

AND

LEL2A: Linguistic Theory and the Structure of English

LEL2B: Phonetic Analysis and Empirical Methods

LEL2D: Cross-linguistic Variation: Limits and Theories

Mind, Matter and Language

Knowledge and Reality

Research Methods and Statistics

AND

These are courses in all schools other than Medicine or Veterinary Studies

Informatics 2B - Algorithms, Data Structures, Learning

Informatics 2D - Reasoning and Agents

AND

Discrete Mathematics and Mathematical Reasoning

Probability with Applications

AND

Research Methods and Statistics

AND

Psychology 2A

Psychology 2B

AND

These are courses in all schools other than Medicine or Veterinary Studies

Year 3 Academic year: 2018/19, Starting in: August

Before making your course choices, make sure you have discussed them with your Personal Tutor.

These lists include courses at level 9 (code INFR09xxx) and level 10 (code INFR10xxx). In general, level 10 courses will contain more advanced material and be taught at a higher level than level 9 courses; you should take account of this when planning your course combination. Each entry links to a matching page in the University course catalogue, where you can find a description of the course content and information about any specific entry requirements.

Compulsory courses

Computational Cognitive Science

Informatics Large Practical

Course options

Computer Architecture

Introduction to Vision and Robotics

Foundations of Natural Language Processing

Automated Reasoning

Computer Design

Operating Systems

Agent Based Systems (Level 10)

Algorithms and Data Structures

Software Testing

Introduction to Theoretical Computer Science

Elements of Programming Languages

Software Design and Modelling

Compiling Techniques

Computer Security

Introductory Applied Machine Learning

Database Systems

Computer Communications and Networks

Speech Processing (Hons)

AND

Professional Issues (Level 10)

AND

These are courses in the School of Philosophy, Psychology and Language Sciences. Level 10 courses are only permitted under this option when the 'normal year taken' is 'year 3 undergraduate'.

AND

These are courses in all schools other than Medicine or Veterinary Studies, and include courses normally taken by 4th-year students. In the case that this DPT option is chosen, you are advised to obtain permission to take the course from the course organiser, and have the course choice approved by your personal tutor.

Year 4 Academic year: 2018/19, Starting in: August

Before making your course choices, make sure you have discussed them with your Personal Tutor.

These lists include courses at level 10 (code INFR10xxx) and level 11 (code INFR11xxx). In general, level 11 courses will contain more advanced material and be taught at a higher level than level 10 courses; you should take account of this when planning your course combination. Each entry links to a matching page in the University course catalogue, where you can find a description of the course content and information about any specific entry requirements.

There are no compulsory courses in this year of this programme.

Course options

Honours Project (Informatics)

AND

Intelligent Autonomous Robotics (Level 10)

Agent Based Systems (Level 10)

Algorithms and Data Structures

Computational Cognitive Science

Software Testing

Introduction to Theoretical Computer Science

Elements of Programming Languages

Software Design and Modelling

Compiling Techniques

Computer Security

Introductory Applied Machine Learning

Database Systems

Computer Communications and Networks

Advanced Databases (Level 11)

Human-Computer Interaction (Level 11)

Algorithmic Game Theory and its Applications

Computer Graphics (Level 11)

Distributed Systems (Level 11)

Parallel Programming Languages and Systems (Level 11)

Parallel Architectures (Level 11)

Advanced Vision (Level 11)

Compiler Optimisation (Level 11)

Automatic Speech Recognition

Software Architecture, Process, and Management (Level 11)

Computer Networking (Level 11)

Computer Animation & Visualisation (Level 11)

Adaptive Learning Environments 1 (Level 11)

Performance Modelling (Level 11)

Extreme Computing

Randomness and Computation

Secure Programming

Introduction to Quantum Computing

Advances in Programming Languages

Computer Algebra

Topics in Natural Language Processing

Types and Semantics for Programming Languages

Scalable Data Management Systems

Social and Technological Networks

Categories and Quantum Informatics

Formal Verification

Machine Learning and Pattern Recognition

Introduction to Modern Cryptography

Machine Learning Practical

Blockchains and Distributed Ledgers

Text Technologies for Data Science

Internet of Things Systems, Security, and the Cloud (IoTSSC)

Principles and Design of IoT Systems

Algorithmic Foundations of Data Science

Natural Language Understanding, Generation, and Machine Translation

Usable Security and Privacy

Bioinformatics 1

Natural Computing

Neural Computation

Speech Processing (Hons)

Theories of Mind (Philosophy Hons)

Logic, Computability and Incompleteness

AND

These are courses in all schools other than Medicine or Veterinary Studies, and include courses normally taken by postgraduate students. In the case that this DPT option is chosen, you are advised to obtain permission to take the course from the course organiser, and have the course choice approved by your personal tutor.