Options for Stage 3 16th March 2018

Overview General information 2 minute sales pitches for options KITC Projects

Later Today Current placement students All students Go to Darwin conference suite after the talks All students 1400 Project poster fair, Eliot

General Points (1) Project plus 3 options per term Online Module registration open until 23rd March Should have collected paperwork on way in Some modules have pre-requisites or co-requisites

General Points (2) Cannot choose too many level 5 (I) modules Need 90 credits level 6 or above at stage 3 Level 7 pass mark is 50% CO832

Classification All undergraduate degree students will be classified by both the average and preponderance methods and will be awarded a degree according to the better result achieved.

Average Method 3 year degree: Stage 2 40% Stage 3 60% 4 year degree Placement 10% Stage 3 55%

3 year degree Class Number of Credits in class or above Average mark over all contributing modules of at least First Class 120 67 Upper Second Class 57 Lower Second Class 47 Third Class 240 Not Applicable

4 year degree Class Number of Credits in class or above Average mark over all contributing modules of at least First Class 180 67 Upper Second Class 57 Lower Second Class 47 Third Class 360 Not Applicable

Registering for modules …

Online via the Student Data System Open until 23rd March

Registered for Placement in 2018/19? Part-time? No need to register on-line Part-time? Cannot register on-line Cannot register online? email computing@kent.ac.uk

Project Need to register online, but there is a further process CO650 IT Consultancy – must have already been accepted CO600 – need to form a group and sign up with a supervisor CO620 – need to sign up with a supervisor

CO600/CO620 Deadline: 8 June 2017 Forum Projects talk later

IMPORTANT Need to register for full set of modules Registration open until 23rd March Want to change degree programme? Do this ASAP as options may change Cannot choose modules when registered for Year in Industry PL583 has a quota It is full this academic year

Contact the Student Admin Office Problems Contact the Student Admin Office computing@kent.ac.uk

Modules …

Autumn Term CO633 Computer Networks and Communications CO634 Computer Security and Cryptography CO636 Cognitive Neural Networks CO637 Natural Computation CO643 Computing Law & Professional Responsibility CO657 Internet of Things CO661 Theory & Practice of Concurrency CB612 New Enterprise Start-Up

Spring Term CO528 Introduction to Intelligent Systems CO641 Computer Graphics and Animation CO646 Computing in the Classroom CO658 Programming Language Implementation CO659 Computational Creativity CO663 Programming Languages: Applications & Design CO832 Data Mining & Knowledge Discovery PL583 Philosophy of Cog Sci & Artificial Intelligence (30 credits) EL561 Image Analysis & Applications

Spanning both Terms EL667 Embedded Computer Systems CO600 / CO620 / CO650 Project

CO659 Computational Creativity Spring CO659 Computational Creativity

Autumn term …

CO633 Computer Networks & Communications Autumn CO633 Computer Networks & Communications

CO634 Computer Security & Cryptography Autumn CO634 Computer Security & Cryptography

CO637 Natural Computation Autumn CO637 Natural Computation

CO637 – Natural Computation We study AI techniques inspired by nature (mainly biology) analogy Biology AI Evolutionary Algorithms: inspired by natural selection In nature individuals evolve, become more and more adapted to environment In Computer Science, individuals can be programs or solutions to problems, which evolve to become better and better solutions to the target problem Swarm Intelligence: inspired by social insects (e.g. ants), which solve complex problems without a central coordinator Molecular Computing: how biological systems (e.g. cells) perform computation

CO643 Computing Law & Professional Issues Autumn CO643 Computing Law & Professional Issues

Autumn CO657 Internet of things

CO661 Theory & practice of concurrency Autumn CO661 Theory & practice of concurrency

Spring term …

CO528 Introduction to Intelligent Systems Spring CO528 Introduction to Intelligent Systems

CO641 Computer Graphics and Animation Spring CO641 Computer Graphics and Animation

Computer Graphics & Animation (CO641) Useful for a wide range of technical and artistic applications including web design, HCI and GUI development, games and simulations, digital photography and cinema, etc... Approached from perspective of computing but with an appreciation of artistic process. 3D modelling and animation project (Blender, 40%) Quizzes (10%) Exam (50%) Student work from 2015

Computer Graphics & Animation (CO641) High-level representations in which scenes are modelled as objects. How shapes and surface details are specified. How such models are converted to images (rendered). Computer animation How motion of objects is controlled to create animations or games. Artistic, physical and behavioural approaches including human characters. Digital imaging and video Low-level representations related to hardware technologies. How such content is captured, manipulated, compressed and displayed.

CO646 Computing in the Classroom Spring CO646 Computing in the Classroom 42

CO646 Computing in the Classroom Module entry subject to interview Learn how to teach computing… … then put it into practice ten half-day visits to a local school observe and help with computing teaching Assessment devise an original project then implement and evaluate it in the school reflective writing on your experience in the school

CO646 – DBS check Need to bring paperwork to Canterbury search google for “DBS paperwork” Stage 2 students Will arrange a time next term Placement students Will arrange a time in week 1 (September)

CO658 Programming Language Implementation Spring CO658 Programming Language Implementation

CO663 Programming Languages: Applications and Design Spring CO663 Programming Languages: Applications and Design

CO832 Data Mining & Knowledge Discovery Spring CO832 Data Mining & Knowledge Discovery

CO832 - Data Mining and Knowledge Discovery Data Mining consists of extracting knowledge from data We will study data mining techniques based on machine learning (a branch of AI) and statistics (probabilities) decision   knowledge information data This is a research-oriented master’s level module (pass mark 50%)

Other schools …

CB612 New Enterprise Start-Up Autumn CB612 New Enterprise Start-Up

CB612: New Enterprise start-up Looking at how a business is started and what makes small businesses succeed. Practical advice about starting up a business Aspects: legal, planning, marketing, finance Main assessment: producing a viable business plan KBS

PL583 Philosophy of Cognitive Science & Artificial Intelligence Spring PL583 Philosophy of Cognitive Science & Artificial Intelligence 55

PL583 Philosophy of Cog Sci & AI Double module! Considers issues about whether machines can be intelligent, and looks at various aspects of AI from a philosophical perspective. 100% coursework Quota 56

EL561 Image Analysis & Applications Spring EL561 Image Analysis & Applications 57

EL561 Image Analysis & Applications Images and Image Processing Techniques Image representation, analysis and manipulation techniques Analysing Images Pattern recognition and classification techniques Media Security and Biometrics Personal identification techniques and security Neural Systems Engineering Practicalities of building machines which can learn and generalise Practical laboratories and classes 58

EL667 Embedded Computer Systems Both EL667 Embedded Computer Systems 59

EL667 – Embedded Computer Systems (CS & CSE) Embedded Computer Systems are everywhere! Mobile Phones, DVD Players, Motor Vehicles… All are based on an embedded microcomputer running a real time operating system. This module covers Hardware and Software design for Embedded Systems and Real Time Operating Systems. Based on real Case Studies Includes a 1-day lab class – Engine Management Simulator. 60

KITC …

Autumn term again…

CO636 Cognitive Neural Networks Autumn CO636 Cognitive Neural Networks

IMPORTANT Need to register for full set of modules Registration deadline is 23rd March

After the Projects talk… Current placement students Go to Darwin conference suite All students 1400 Project poster fair, Eliot