1. Options for Stage 3 20 th March 2015

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

3. Later Today Current placement students –1300 in Darwin conference suite WCo placement students –See Janet and Sandra at 1430 in poster fair All students –1400-1600 Project poster fair, Eliot

4. General Points (1) Project plus 3 options per term Online Module registration –opens on Monday –closes on 13 th April Should have collected paperwork on way in Some modules have pre-requisites or co- requisites

5. General Points (2) CO653 will NOT run next year Cannot choose too many level I modules –Need 90 credits level H or above at stage 3 Level M pass mark is 50% –CO832

6. Classification All undergraduate degree students admitted in 2011/12 and thereafter will be classified by both the average and preponderance methods and will be awarded a degree according to the better result achieved.

7. 3 year degree Class Number of Credits in class or above Average mark over all contributing modules of at least First Class12067 Upper Second Class12057 Lower Second Class12047 Third Class240Not Applicable

8. 4 year degree Class Number of Credits in class or above Average mark over all contributing modules of at least First Class18067 Upper Second Class18057 Lower Second Class18047 Third Class360Not Applicable

9. Registering for modules …

10. Modules …

11. Autumn Term CO633Computer Networks and Communications CO634 Computer Security and Cryptography CO636 Cognitive Neural Networks CO637Natural Computation CO657Internet of Things CB612 New Enterprise Start-Up

12. Spring Term CO528 Introduction to Intelligent Systems CO641Computer Graphics and Animation CO643Computing Law & Professional Responsibility CO646Computing in the Classroom CO658Programming Language Implementation CO659Computational Creativity CO832Data Mining & Knowledge Discovery PL583Philosophy of Cog Sci & Artificial Intelligence EL561 Image Analysis & Applications

13. Spanning both Terms EL667 Embedded Computer Systems CO600 / CO620 / CO650Project

14. Options …

15. Autumn term …

16. CO633 Computer Networks & Communications Autumn

17. CO636 Cognitive Neural Networks Autumn

18. CO636: Cognitive Neural Networks Lecturer: Professor Howard Bowman

19. How the brain computes Electrochemical dynamics of neural circuits Neurons, synapses, dendrites, axons, etc Structure of the brain Activation dynamics, –excitatory, inhibitory, etc Types of networks –feedforward, recurrent, etc

20. Learning How do neural systems learn? How do humans learn? Change of synaptic efficiency Types of learning, –unsupervised –supervised

21. run simulations using PDP++ simulation tool autumn term: 2 hours of lectures & 2 hours of practicals per week course text book, R. O’Reilly & Y. Munakata: “Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain” MIT Press, 2000.

22. CO637 Natural Computation Autumn

23. CO637 – Natural Computation 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 We study AI techniques inspired by nature (mainly biology) 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 Biology AI analogy

24. CO657 CO657 Internet of things Autumn

25. CB612 New Enterprise Start-Up Autumn

26. 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

27. Spring term …

28. CO528 Introduction to Intelligent Systems Spring

29. Intelligent Systems ● Iterative deepening ● Puzzles ● Heuristics ● Two player games ● Constraint satisfaction ● Genetic algorithms ● Machine learning with special emphasis on mathematical aspects and foundational issues. ● Foundational questions of artificial intelligence.

30. CO641 Computer Graphics and Animation Spring

31. 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... Computer Graphics & Animation (CO641) Covers subject from perspective of computing but with an appreciation of artistic process. Major practical assignment on 3D modelling and animation with Blender. Student work from 2014

32. Computer Graphics & Animation (CO641) Computer graphics 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.

33. CO643 Computing Law & Professional Issues Spring

34. CO643 Computing Law & Professional Issues Different form: lectures & real (students talking!) seminars & … Covers the core laws and issues, and lots of computing current affairs. In 2014/15 so far: drones, Apple ResearchKit, Google & Right To Be Forgotten, Snowden files on Apple security, internet surveillance, legality of DDoS, Wikileaks, Net Neutrality, Facebook, …

35. CO646 Computing in the Classroom Spring

36. 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

37. CO646 – DBS check Need to bring paperwork to Canterbury http://www.direct.gov.uk/en/Employment/Startinganewjob/DG_195811 Stage 2 students –Will arrange a time next term Placement students –Will arrange a time in week 1 (September)

38. CO658 Programming Language Implementation Spring

39. CO659 CO659 Computational Creativity Spring

40. CO832 Data Mining & Knowledge Discovery Spring

41. CO832 - Data Mining and Knowledge Discovery decision knowledge information data Data Mining consists of extracting knowledge from data This is a master’s level module (involves reading research papers) We will study data mining techniques based on machine learning (a branch of AI) and statistics (probabilities)

42. PL583 Philosophy of Cognitive Science & Artificial Intelligence Spring

43. 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

44. EL561 Image Analysis & Applications Spring

45. 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

46. Both terms …

47. EL667 Embedded Computer Systems Both

48. 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.

49. Autumn again …

50. CO634 Computer Security & Cryptography Autumn

52. Kent IT Clinic

53. IMPORTANT Need to register for full set of modules Registration opens on Monday Registration deadline is 13 th April

54. After the Projects talk… Current placement students –1300 in Darwin conference suite WCo placement students –See Janet and Sandra at 1430 in poster fair All students –1400-1600 Project poster fair, Eliot