1. Related Courses CMPT 411: Knowledge Representation. Mainly Logic. CMPT 413: Computational Linguistics. Dealing with Natural Language. CMPT 419/726: Often machine learning. Fills up fast!

2. Industry Applications Asked on Midterm Feedback. AI supports complex decisions based on large amounts of data. Application Domains: – optimal industrial control – process management and optimization – business rules – financial modeling – text analysis – machine translation – search engines

3. Job Profiles AI is general, hard to turn into one job profile. Easier for subareas: – machine learning, data scientist. – speech recognition. – optimization, scheduling.

4. Final Exam Information CMPT 310 Spring 2015

5. Content Cumulative over course, with emphasis on post-midterm material (Ch. 13, 14,18,20). See Lecture Schedule for details in chapters.

6. Resources You can bring a cheat sheet, both sheets. No calculators, smartphones, textbook, notes. Website: – Links to sample exams. – Instructions. Textbook: – Summary. – Exercises – Key points in margins. Study Groups. There is no email support for studying for the final exam.

7. Instructions Please bring ID to the exam. Please bring a pencil. No calculators, smartphones, textbook, notes. Be on time. Read the instructions ahead of time – posted on the web.

8. Post Mortem Cut-offs should be visible on courses.cs.sfu.ca after grades are released. You can visit with your final exam Wednesday, June 3, 3-5 pm, in my office. See syllabus for grade review policy.