COMP307 (2019) - Introduction to Artificial Intelligence
This course considers ideas and techniques from Artificial Intelligence. It first introduces a range of search algorithms that are used throughout AI. It then examines applications and techniques of AI, including rule-based systems for embodying human expertise, algorithms for planning and problem solving, natural language processing, methods for machine learning, and neural nets and other computation intelligence techniques.
Course learning objectives
Students who pass this course should be able to:
- Understand fundamental concepts and techniques of artificial intelligence, in areas such as search, machine learning, evolutionary computing, reasoning under uncertainty, rule based systems, and planning. (BE 3(a), 3(c), 3(d), 3(e)); (BSc COMP 1, 2, 3, 4).
- Apply these concepts and techniques to specific problems (including engineering applications). (BE 3(a), 3(c), 3(d), 3(e), 3(f)); (BSc COMP 1, 2, 3, 4).
Artificial Intelligence (AI) is intelligence exhibited by machines. Examples include self-driving cars, automatically planning a holiday, generating sensible conversation, learning to predict fog at Wellington Airport, reading a web page to get the answer to a question, recognising handwritten digits, detecting identity by checking fingerprints, detecting network intrusions, controlling robot actuators, processing and recognising images and signals, discovering and detecting the mathematical or logical relationship between output variables and a large number of inputs in economic and engineering tasks, or optimising parameter values in complex engineering problems. COMP 307 is an introduction to the ideas and techniques that computer scientists have developed to address these kinds of tasks.
The lectures cover following main topics: search techniques, machine learning including basic learning concepts and algorithms, neural networks and evolutionary learning, reasoning under uncertainty, planning and scheduling, knowledge based systems and AI Philosophy. The course includes a substantial amount of programming. The course will cover both science and engineering applications.
Withdrawal from Course
Withdrawal dates and process:
Dr Qi Chen may give some guest lectures..
During the trimester there will be typically two lectures and one tutorial per week.
Student feedback on University courses may be found at: www.cad.vuw.ac.nz/feedback/feedback_display.php
Dates (trimester, teaching & break dates)
- Teaching: 04 March 2019 - 09 June 2019
- Break: 15 April 2019 - 28 April 2019
- Study period: 10 June 2019 - 13 June 2019
- Exam period: 14 June 2019 - 29 June 2019
There will be some scheduled helpdesks.
Set Texts and Recommended Readings
The textbook for COMP 307 is: Stuart J. Russell and Peter Norvig, Artificial Intelligence. A Modern Approach, Prentice-Hall, NJ, 3rd edition, 2009. Some online materials are available on the course website.
A Reading List is available via the course website.
- Please see Talis.
Mandatory Course Requirements
In addition to achieving an overall pass mark of at least 50%, students must:
- submit reasonable attempts for at least three of the four assignments.
If you believe that exceptional circumstances may prevent you from meeting the mandatory course requirements, contact the Course Coordinator for advice as soon as possible.
This course will be assessed through assignments and final examination. There will be four assignments. The first three assignments will involve a combination of programming and discussion; the final assignment does not have programming work.
The marks and feedback will be returned in two weeks after the submission of each assignment.
|Assessment Item||Due Date or Test Date||CLO(s)||Percentage|
|Assignment 1 (3-4 weeks)||Week 5||CLO: 1,2||15%|
|Assignment 2 (3 weeks)||Week 8||CLO: 1,2||12%|
|Assignment 3 (2-3 weeks)||Week 10||CLO: 1,2||10%|
|Assignment 4 (2 weeks)||Week 12||CLO: 1,2||8%|
|Final Exam (2 hours)||Exam Period||CLO: 1,2||55%|
The penalty for assignments that are handed in late without prior arrangement is one grade reduction per day. Assignments that are more than one week late will not be marked.
Individual extensions will only be granted in exceptional personal circumstances, and should be negotiated with the course coordinator before the deadline whenever possible. Documentation (eg, medical certificate) may be required.
Submission & Return
All work should be submitted through the ECS submission system, accessible through the course web pages. Marks and comments will be returned through the ECS marking system, also available through the course web pages.
In order to maintain satisfactory progress in COMP 307, you should plan to spend an average of 10 hours per week on this course. A plausible and approximate breakdown for these hours would be:
- Lectures and tutorials: 3 hours
- Readings, revision/review, and assignments: 7 hours
If assignments are left until the last minute, the amount of work spent in particular weeks may vary greatly.
Lecture schedules can be seen from the course website. See https://ecs.victoria.ac.nz/Courses/COMP307_2019T1/LectureSchedule
Communication of Additional Information
1. Course website: https://ecs.victoria.ac.nz/Courses/COMP307_2019T1/
2. Course forum
3. Email sent by the lecturers to students at their ecs email addresses.
Links to General Course Information
- Academic Integrity and Plagiarism: https://www.victoria.ac.nz/students/study/exams/integrity-plagiarism
- Academic Progress: https://www.victoria.ac.nz/students/study/progress/academic-progess (including restrictions and non-engagement)
- Dates and deadlines: https://www.victoria.ac.nz/students/study/dates
- Grades: https://www.victoria.ac.nz/students/study/progress/grades
- Special passes: Refer to the Assessment Handbook, at https://www.victoria.ac.nz/documents/policy/staff-policy/assessment-handbook.pdf
- Statutes and policies, e.g. Student Conduct Statute: https://www.victoria.ac.nz/about/governance/strategy
- Student support: https://www.victoria.ac.nz/students/support
- Students with disabilities: https://www.victoria.ac.nz/st_services/disability/
- Student Charter: https://www.victoria.ac.nz/learning-teaching/learning-partnerships/student-charter
- Terms and Conditions: https://www.victoria.ac.nz/study/apply-enrol/terms-conditions/student-contract
- Turnitin: http://www.cad.vuw.ac.nz/wiki/index.php/Turnitin
- University structure: https://www.victoria.ac.nz/about/governance/structure
- VUWSA: http://www.vuwsa.org.nz
Offering CRN: 968
Prerequisites: COMP 261 or NWEN 241 or SWEN 221; ENGR 123 or MATH 151 or 161
Duration: 04 March 2019 - 30 June 2019
Starts: Trimester 1