DPT: Cognitive Science (BSc Hons) (UTCOGSCBS)

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

Year 1 Academic year: 2021/22, Starting in: September

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

Please note that all students must pass INF1A (Informatics 1 - Introduction to Computation INFR08025), and INF1B (Informatics 1 - Object-Orientated Programming INFR08029), before they are allowed to progress into Year 2 of this degree.

Compulsory courses

Informatics 1 - Cognitive Science

Must be passed

Informatics 1 - Introduction to Computation

Must be passed

Informatics 1 - Object Oriented Programming

Must be passed

Introduction to Linear Algebra

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: 2021/22, 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.

Compulsory courses

Discrete Mathematics and Probability

Must be passed

Course options

Note: Some honours Psychology courses require Data Analysis for Psychology in R2 as a pre-requisite. Students planning to take these courses should register for this course, other students should register for Foundations of Data Science.

Informatics 2 - Foundations of Data Science

Data Analysis for Psychology in R 2

AND

Note: Students who register for Research Methods and Statistics are strongly recommended to register for both of these courses to ensure enough Informatics background to support honours Informatics study.

Informatics 2D - Reasoning and Agents

Informatics 2 - Introduction to Algorithms and Data Structures

AND

Note: Students planning to take honours Psychology courses should register for both Psychology 2A and Psychology 2B. Students planning to take honours Linguistics or Philosophy courses should check the prerequisites for those courses to guide their choice of year 2 courses.

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

Psychology 2A

Psychology 2B

AND

These are courses in all schools other than Medicine, or the Centre for Open Learning.

Year 3 Academic year: 2021/22, Starting in: August

Compulsory courses

Computational Cognitive Science

Informatics Large Practical

Course options

Introduction to Vision and Robotics

Automated Reasoning

Computational Cognitive Science

Introductory Applied Machine Learning

Foundations of Natural Language Processing

Speech Processing (Hons)

AND

Algorithms and Data Structures

Software Testing

Introduction to Theoretical Computer Science

Software Design and Modelling

Compiling Techniques

Computer Security

Computer Communications and Networks

Computer Architecture and Design

Operating Systems

Introduction to Databases

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, Veterinary Studies, or the Centre for Open Learning, 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: 2021/22, Starting in: August

In 2021/22, students in Year 4 of the degree must register for Computational Cognitive Science, because the course was not offered in 2020/21 during their third year.

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.

Students who are members of Edinburgh University Formula Student and have not taken Informatics Experiential Learning (Level 10) in Year 3 may request a concession from the School Curriculum Approval Officer to replace any 20 credits of Informatics courses in the DPT with IEL-10. Approval will require written permission from the IEL-10 tutor confirming your eligibility for that course. This option is not available to students whose honours project is already based on their work with Edinburgh University Formula Student.

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

Course options

Honours Project (Informatics)

AND

Computational Cognitive Science

Introductory Applied Machine Learning

Computing in the Classroom

Foundations of Natural Language Processing

Human-Computer Interaction (Level 11)

Algorithmic Game Theory and its Applications

Computer Graphics (Level 11)

Advanced Vision (Level 11)

Automatic Speech Recognition

Machine Learning and Pattern Recognition

Machine Learning Practical

Text Technologies for Data Science

Natural Language Understanding, Generation, and Machine Translation

Bioinformatics 1

Natural Computing

Machine Learning Theory

AND

Algorithms and Data Structures

Software Testing

Introduction to Theoretical Computer Science

Software Design and Modelling

Compiling Techniques

Computer Security

Computer Communications and Networks

Computer Architecture and Design

Operating Systems

Introduction to Databases

Parallel Programming Languages and Systems (Level 11)

Parallel Architectures (Level 11)

Extreme Computing

Secure Programming

Introduction to Quantum Computing

Formal Verification

Introduction to Modern Cryptography

Blockchains and Distributed Ledgers

Principles and Design of IoT Systems

Quantum Cyber Security

Advanced Database Systems

Security Engineering

AND

These are courses in all schools other than Medicine, Veterinary Studies, or the Centre for Open Learning, 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.