1. Options for Stage 3
16th March 2018

2. Overview General information 2 minute sales pitches for options KITC
Projects

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

4. 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

5. 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

6. 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.

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

8. 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

9. 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

10. Registering for modules …

11. Online via the Student Data System
Open until 23rd March

15. Registered for Placement in 2018/19? Part-time?
No need to register on-line
Part-time?
Cannot register on-line
Cannot register online?

16. 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

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

18. 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

19. Contact the Student Admin Office
Problems
Contact the Student Admin Office

20. Modules …

21. 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

22. 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

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

24. CO659 Computational Creativity
Spring
CO659 Computational Creativity

25. Autumn term …

26. CO633 Computer Networks & Communications
Autumn
CO633 Computer Networks & Communications

27. CO634 Computer Security & Cryptography
Autumn
CO634 Computer Security & Cryptography

30. CO637 Natural Computation
Autumn
CO637 Natural Computation

31. 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

32. CO643 Computing Law & Professional Issues
Autumn
CO643 Computing Law & Professional Issues

33. Autumn
CO657 Internet of things

34. CO661 Theory & practice of concurrency
Autumn
CO661 Theory & practice of concurrency

35. Spring term …

36. CO528 Introduction to Intelligent Systems
Spring
CO528 Introduction to Intelligent Systems

39. CO641 Computer Graphics and Animation
Spring
CO641 Computer Graphics and Animation

40. 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

41. 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.

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

43. 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

44. 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)

45. CO658 Programming Language Implementation
Spring
CO658 Programming Language Implementation

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

50. CO832 Data Mining & Knowledge Discovery
Spring
CO832 Data Mining & Knowledge Discovery

51. 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%)

52. Other schools …

53. CB612 New Enterprise Start-Up
Autumn
CB612 New Enterprise Start-Up

54. 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

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

56. 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

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

58. 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

59. EL667 Embedded Computer Systems
Both
EL667 Embedded Computer Systems 59

60. 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

61. KITC …

62. Autumn term again…

63. CO636 Cognitive Neural Networks
Autumn
CO636 Cognitive Neural Networks

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

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