McMaster University
Computer Science II
COMP SCI 1MD3, Term II 2005/06
Slides
Assignments
Exercises
Midterms
Tutorial material
Lectures and Tutorials
Tuesday, Wednesday, Friday 9:30-10:20 in HH/305
Labs |
Tutorials |
L01: Friday 13:30-14:20 in BSB/245 |
T01: Thursday 13:30-14:20 in BSB/245 |
L02: Thursday 16:30-17:20 in BSB/245 |
T02: Wednesday 16:30-17:20 in BSB/245 |
Instructor
Dr. J. Carette, ITB-168 , ext 26869
Office hours: by appointment (or catch me after class).
For all course related questions,
a class forum has been set up on WebCT so that
questions and their answers can be posted centrally. The
instructor will generally not answer emails sent to him directly,
but will answer questions posted on the discussion forum(s)
very frequently.
Teaching Assistants
TBA.
Textbook
Computer Science Illuminated, 2nd Edition, by Nell Dale & John Lewis.
Publisher - Jones and Bartlett. The textbook comes with a book of many of
the slides that will be used for the course - very convenient for note taking.
You will also find many tutorials on Python on the web, as well as various books.
As I read these books, I will post recommendations here.
Course Objectives
This course is for people who have had an introduction to programming.
From the undergraduate calendar, the topics of the course are:
abstract data models and data structures; virtual memory and memory allocation;
advanced programming paradigms: recursion, functional programming,
communication protocols; logic, finite-state machines and complexity
More broadly, the objectives of this course will be to continue to
teach programming basics, as well as introduce a number of more
advanced computer science topics that will be covered more in depth in
later courses.
Broadly, the course will have 2/3 of the lectures on topics such as
data structures, algorithms, programming languages, complexity, and 1/3
of the lectures will be spent on (quick) overviews of advanced topics
such as XML, OCaml, Haskell, compilers, interpreters, scientific computation,
symbolic computation, templates and the STL, genericity, Open Source,
automated testing, garbage collection, web technologies, IDEs, etc. The
exact list of topics will be finalized partway through the term; as well,
the class will have input on the final list of topics.
Course Information on Web, and Slides
The latest version of this outline and the most "up-to date"
information as well as hand-outs can be found on the course web page.
http://www.cas.mcmaster.ca/~carette/CS1MD3/2005/index.html.
(Or go to my home page and then to the course page).
The slides and
assignments can be found there as well.
Mid-terms, Exams, and Grading
- There will be two mid-terms. They are scheduled for
February 3th and March 7th, during the regular class hour.
They will be held in T29 - 101.
- The final examination will be
scheduled by the Registrars office in the usual way. It will be
three hours in duration and cover the material of the course,
handouts and assignments.
- It is essential that you fulfill the deadlines for the
assigments, there is no credit for documents handed
in after the deadline. This is manly due to the fact that
solutions will be available after the due date.
- You must pass the final examination to pass the course.
Assuming you pass it, the final grade will be computed
according to:
Final Examination |
50% |
Mid-Term Test 1 |
15% |
Mid-Term Test 2 |
15% |
Assignments |
20% |
Additionally, exercises will be posted. Some of these
exercises will be worth bonus points, to be added to the
final mark of those who have passed the final.
- The instructor does not accept
late doctor's notices, if you write a mid-term then the mark is
yours. If you do not write an exam or an assignment and do not provide
an acceptable doctors notice then it is marked with 0. The
instructor reserves the right to conduct any deferred exams orally.
Notes:
Discrimination
"The Faculty of Science is concerned with ensuring an
environment that is free of all adverse discrimination. If there is a
problem that cannot be resolved by discussion among the persons
concerned individuals are reminded that they should contact their
Chair, the Sexual Harassment Office or the Human Rights Consultant,
as soon as possible."
Academic Dishonesty
- Academic dishonesty consists of misrepresentation by deception or by other
fraudulent means and can result in serious consequences, e.g. the grade of
zero on an assignment, loss of credit with a notation on the transcript
(notation reads: "Grade of F assigned for academic dishonesty"), and/or
suspension or expulsion from the university.
It is your responsibility to understand what constitutes academic
dishonesty. For information on the various kinds of academic dishonesty
please refer to the Academic Integrity Policy, specifically
Appendix 3.
The following illustrates only three forms of academic dishonesty:
- Plagiarism, e.g. the submission of work that is not one's own or for
which other credit has been obtained.
- Improper collaboration in group work. (Note that all assignments in
CS 1MD3 are to be done individually unless explicitly mentionned otherwise).
- Copying or using unauthorized aids in tests and examinations.
- There is zero tolerance for academic dishonesty .
All assignments have to be solved by one person only,
any outside source, this includes asking other people,
or using any books or information found on the web has to
be documented. In complience with the senate regulations
on academic integrity I remind you that:
People who let other people copy are as guilty as the ones who copy.
You are allowed to consult outside sources, meaning textbooks
or the web, but any use of an outside source
must be documented.
- In the case the instructor or a TA
has the impression that an assignment is copied, the instructor can
ask the corresponding students to explain exactly how the assignment
was prepared and take appropriate actions.
Jan 2006