Final Exam Preparation

The Final exam will be held on Tuesday, December 11th, 8:00-11:00am. Everyone will be in the RSF Fieldhouse. DSP students should have received an email from us about final exam instructions.

The final exam will cover material from all lectures, homeworks, discussion sections, and projects. Note that exam questions will in many cases ask you to extend or combine basic ideas and algorithms from class. Make sure you understand the fundamentals in addition to being able to procedurally execute algorithms. The exam will not test your knowledge of Python, however questions may assume familiarity with the projects (see past exams for examples).

The final will be closed notes, books, laptops, and people. However, you may use a three-page (six sides) cheat sheet of your own design (group design ok but not recommended).

You may also use a basic, non-programmable calculator, which is not required, but which may be helpful and is recommended. (No TI-86's, iPhones, etc.)

The Practice Final is available here. This is meant for you to simulate exam environment and help assess where you are at. It is optional. You are able to earn 1pt of extra credit on the final by appropriately completing it by its deadline: Saturday, 12/08 at 11:59 pm

In addition to regular office hours, we will be holding final review sessions during the normal discussion section slots. There will be multiple types of review session, each covering one week's worth of materials through some review and then a past exam question on that week's topic. You can attend as many as you like. The schedule is below.

Review Sessions

Topic	Time	Location	GSI
Naive Bayes, Decision Trees	Tuesday 12/4, 4:00-5:00pm	Wheeler 222	Daniel
MDPs, RL	Tuesday 12/4, 5:00-6:00pm	Wheeler 202	Aditya
Sampling, VPI	Wednesday 12/5, 12:00-1:00pm	Etcheverry 3113	Katie
Sampling, VPI	Wednesday 12/5, 12:00-1:00pm	Wheeler 202	Jasmine
HMMs	Wednesday 12/5, 1:00-2:00pm	Dwinelle 182	Wilson
Perceptrons, Neural Networks	Wednesday 12/5, 2:00-3:00pm	Dwinelle 229	Jonathan
Probability, Bayes Nets	Wednesday 12/5, 3:00-4:00pm	Dwinelle 79	Noah
Probability, Bayes Nets	Wednesday 12/5, 3:00-4:00pm	Cory 289	David
CSPs	Wednesday 12/5, 4:00-5:00pm	Etcheverry 3119	Alex
Games	Wednesday 12/5, 5:00-6:00pm	Latimer 105	Nikita
Games	Wednesday 12/5, 5:00-6:00pm	Dwinelle 243	Nikhil
Search	Wednesday 12/5, 6:00-7:00pm	Latimer 105	Laura