Information About The Midterm Exam

Additional details will be provided as we get closer to the exam so you should check this page for updates.

Date/location of the actual midterm exam:

As stated on the course web page it will be an out of class exam: [Details]

Midterm review

An in-class review will be conducted during the lecture on Wednesday February 27: [Review materials] [Solutions for the review materials]

Resources developed by the L01 instructor (Mea Wang): [Review questions] [Review lecture notes]

Exam instructions (these are from the actual exam so you should read them beforehand):

Material that you should study

• The lecture material: the PowerPoint slides will provide you with an outline of the topics to be covered. However studying the information just listed on the slides won't be sufficient to do well on the final exam. You will also need to take notes in class and to study and understand those notes. If you have any questions then make sure that you ask me for help and clarification.
• The text books: they should be used as another source of material to help you understand the material as you prepare for the exam. I won't however directly examine you on material that is listed in the textbooks that I didn't cover in class.
• Lab exercises and the lab handouts: I won't be directly examining you on this material (unless it overlaps with the lecture material).   

Topics

Question type (on the near final version of the exam)¹

• The exam will be a combination of written and multiple choice questions.
• The written questions could require you to: (1) write program code (2) trace program code (3) describe a concept (this type of question won't require you to write a full essay, likely it will just require a few bullet points or a few sentences/a paragraph.

1 Small changes may be made in the final version but this outline should at least give you a rough idea of the breakdowns and structure.

2 The non-multiple choice questions could include: program writing, code traces or questions associated with notation: e.g., UML diagrams or memory maps (graphical representations of variables in memory - see your online notes and in class lecture notes for examples).