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Table of Contents
Syllabus
Description
Computer Science is an exciting and wide-ranging discipline, many of whose topics will not be introduced in any technical depth until upper year courses (if at all). This course consists of a set of invited lectures by researchers in the department and industry as well as a set of other organised events that will introduce the students to the breadth of computer science.
The course is organised around a series of invited talks by individual researchers and research groups, as well as a number of other events that will introduce students to specific research directions in computer science, issues related to professionalism and professional societies, as well as opportunities to become engaged in different research and technical groups and events related to computer science.
Computer Science and Computer Security Majors are expected to complete this course in their first year of study.
Instructor & TAs
Instructor
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- Office: LAS 3016
- Office hours: Wednesday, 15:00-16:00 on weeks that class meets
- Email: wildes@cse.yorku.ca
Teaching Assistant
- TBA
- Office: TBA
- Office hours: TBA
- Email: TBA
In order to ensure timely responses to e-mails, please include CSE1001 in the e-mail subject line and include your CSE account number and student number in the body of the e-mail. E-mails lacking such information are unlikely to receive timely or useful response.
Textbook
There are no textbooks for this course.
Course Components
Lectures
Lectures consist of presentation and discussion of the course material. Material presented during the lectures can be accessed by clicking on Schedule on the sidebar.
Readings
Readings will be assigned from the textbook and are associated with material covered in lectures. Readings for each week of the course can be found by clicking on Schedule on the sidebar. Students are encouraged to read the textbook chapter associated with each lecture prior to attending the lecture.
Labs
Lab sessions will be used for several purposes including getting you started, running lab tests and providing help on eChecks. To see the exact schedule, click on Schedule on the sidebar.
eChecks
The eCheck exercises can be found at the end of each chapter in your textbook. Certain eChecks will be assigned and are associated with labs, as indicated in the Schedule sidebar. eChecks assigned in association with a Tuesday lab will be due no latter than the following Monday. However, it is recommended that you complete as many of these exercises as possible to enhance your understanding of the course material. You will receive instant feedback regarding whether your solution passed all tests.
To learn how to submit eChecks electronically, do the initial self-paced labs of the textbook consulting the <a href="http://www.cse.yorku.ca/course_archive/2012-13/S/1020/GuidedTourV3.pdf">Guided Tour</a>
. The URL of the eCheck server (which you need in order to submit electronically from home) can be found in the guided tour.
Students are expected to adhere to the coding style that is given in Appendix C of the textbook.
Lab Tests
There are two lab tests in this course. They are both open book, which means that you are allowed to have the textbook with you, but nothing else. For dates and times of these tests, click on Schedule on the sidebar.
Midterm Written Test
There is one written test that will take place during normal lecture time. It is closed book. See the Schedule sidebar for the date and time.
Final Exam
The final exam is a written test. It is closed book. Scheduling for the final exam will be determined by the registrar's office later in the term.
Grading
The weight distribution of the course components is as follows:
- 10% : eChecks (1% for each of 10 assigned eChecks)
- 20% : Lab test #1
- 20% : Lab test #2
- 20% : Midterm written test
- 30% : Final written exam
Each piece of work will be assigned a numeric grade. A final numeric grade will be acomputed using the weighting given above. The final letter grade will be determined form the numeric score using the standard Computer Science and Engineering mapping.