EECS 1012

Net-centric Introduction to Computing

York University

The objectives of 1012 are threefold: providing a first exposure to event-driven programming, teaching students a set of computing skills (including reasoning about algorithms, tracing programs, test-driven development, unit testing), and providing an introduction to computing within a mobile, net-centric context. It uses problem-based approach to expose the underlying concepts and an experiential laboratory to implement them. A mature mobile software infrastructure
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Michael S. Brown

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EECS 1012 Lecture Notes - Fall 2018, Lecture 11 - Regular Expression, Empty String, Pattern Matching
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Lecture 11- JavaScript and Forms (Final lecture for 20...

Electrical Engineering and Computer Science
EECS 1012
Michael S. Brown

EECS 1012 Syllabus for Michael S. Brown — Fall 2018

EECS 1012: Net-Centric Introduction to Computing
Sections A & B Fall 2017
Drs. Michael S. Brown and Amir Chinaei (eecs1012fal[email protected]mail.com)
This is an introductory course in computer science. Rather than providing a broad overview of
the
discipline, this course takes a single aspect of computer science -- web-based programming -- and
uses that to introduce a number of concepts related to data organization,
procedural programming
and computational thinking. Along the way it will introduce you to three commonly used languages:
HTML, CSS, and Javascript.
This is a single term course lasting 12 weeks. A key element of the course is a set of lab exercises.
These labs are supervised, in that you will do the lab in a specific location at a specific time and
there will be someone there to help you work your way through the labs. Labs will be posted the
week before they are due. You are encouraged to try to complete the lab before your lab session.
You are also welcome to discuss labs with a partner, but you will be marked individually and will
need to submit your own solution/code to the online system (moodle). The lab will be marked by a
TA before the lab session ends so it is important that you come to your assigned lab (you cannot
attend another lab session). You may also help your fellow student, but please make sure you
learn the concepts do not just copy to finish the lab. The labs are primarily to prepare you for
individual lab-exams where you must work independently.
Lecture notes, labs and other resources will be made available on the courses moodle page. In
addition, online quizzes and subject matter tests, as well as lab submissions will be made using
Moodle (moodle.yorku.ca). You are responsible for any and all information posted on the
Moodle site.
Learning Outcomes for the course:
By the end of the course, students will be able to:
Use a set of computing skills such as reasoning about algorithms, tracing programs,
test-
driven development, and diagnosing faults.
Explain and apply fundamental constructs in event-driven programs, including variables and
expressions, control structures (conditionals/loops), and API usage.
Write simple programs using a given software infrastructure, API, and tool chain.
Gain exposure to net-centric computing, client-server applications, and simple relational
database use.
Become familiar with the notion of syntax, both for programs and web documents, and the
principle of separation of concerns.
Lectures: T 2:30-4:30pm, VC135 (Session A)
Th 2:30-4:30pm, SLH D (Session B)
M 10.30am 12.20pm, SLH D (Session C)
Labs: Labs take place in William Small 106 and 108. Labs occur weekly (starting Sept 17). You have
a scheduled lab time. You can only change your lab session officially by making a request to the
EECS UG office. Lab changes will be very difficult given the large enrollment.
Office Hours. Dr. Brown: Thurs 9.30am-10.30am in Lassonde 3022.
Dr. Chenaei: Tues/Weds 10am-11am in Lassonde 3048.
Emails. Emails related to this course should be sent to eecs1012fall20[email protected].com. The subject
line of the email must include your student number. Please send emails from your official York
email account (do not use gmail, yahoo, etc. we cannot verify who you are). Emails not
sent to this account, or not including your student number in the subject line will receive a terse
(and likely much delayed) response asking you to follow this policy. Given the lack of privacy
associated with email it is not possible to discuss specific issues related to course performance, etc
via email. (Please note that there are approximately 650 students in EECS1012. Following this
policy will help to ensure that your email is answered promptly and not lost.)
Textbook. We will not be using a text book this semester. Instead we will provide detailed lecture
notes and links to multiple web resources.
Marking Scheme. Each piece of work in the course will be assigned a numerical grade.
Individual
grades will be combined based on the weightings given below. Your final numerical grade out of
100 will be converted to a university letter grade using the standard table for the mapping. There
are no make-up tests, alternate mechanisms of evaluation, etc. Should you miss an evaluation due
to medical reasons, a properly completed Attending Physician's Statement
1
is required. Once
available, marks will be posted either on Moodle or using another online resource (e.g. google doc).
The grade components of the course are as follows.
Five (5) Subject-matter tests (10%). Five (5) pass/fail subject matter quizzes at
2% each
10% total. These Moodle quizzes are to be completed individually and at
your own
convenience. They are time limited (20 minutes max), and each has a due date associated
with it. You may use any resource except
another person when answering these
quizzes. Subject matter tests will be pass/fail; a minimum of 80% is required on an individual
quiz to pass it. This means if you get 80% or more you get full marks, if you get less than
80%, you get 0 marks. You may take each quiz as many times as you like up until the due
date. There is a minimum delay between attempts of 24 hours, so please start early.
Two (2) In-class (midterm) tests (36%). Two in-class tests at 18% each - 36% total. These
two multiple-choice tests will be held in class on the dates given on the schedule page. These
tests are closed book. There is no final exam.
Two (2) In-lab tests (40%). Two lab tests at 20% each - 40% total. These are two labs
that you will conduct on your own. These are supervised events during which you will
solve coding problems in the lab. The lab will be closed notes (and closed internet),
however, you will be provided with cheat sheets.
Seven (7) Labs (14%). Seven (7) labs at 2% each - 14% total. Details for each lab can
be found through the course website. Each lab will has a PDF that you are expected to
have read prior to the lab. You are encouraged to attempt your labs before the lab
session. The TA will verify your lab and require you to sign a sheet that your lab has been
verified. If the TA does not have your signature, you will not be given credit for the lab.
There will be a practice lab near the end of the semester, but it will not be marked.
1
https://registrar.yorku.ca/pdf/attending-physicians-statement.pdf
Syllabus. The following is a tentative syllabus -- it may change slightly. The slides will be
available on the course website before lectures. Labs will be available the week prior to the lab.
Week 1: 5 September 7 September
Lecture: No lectures (even for session B).
Laboratories: There are no laboratories this week.
Week 2: 10 September - 14 September
Lecture: Introduction to the course, brief history of the internet, introduction to HTML.
Laboratories: There are no laboratories this week. Organized labs start next week.
Week 3: 17 September - 21 September
Lecture: HTM cont’ and CSS (part 1)
Laboratories: Lab 1: HTML
Week 4: 24 September - 28 September
Lecture: CSS (part 2)
Laboratories: Lab 2: HTML with CSS
Week 5: 1 October - 4 October
Lecture: Intro to programming, simple Javascript, computational thinking
Laboratories: Lab3: More CSS
Week 6: 8 October - 12 October NO CLASSES
Lecture: No lectures Fall Break
Laboratories: No labs Fall Break
Week 7: 15 October - 19 October
Lecture: Introduction Javascript
Laboratories: Lab Test #1
Week 8: 22 October 26 October
Lecture: Javascript continued, In-class exam #1
Laboratories: Lab 4: Javascript
Note: Fall reading period October 26-29.
Week 9: 29 October - 2 November
Lecture: Javascript and the Document Object Model (DOM)
Laboratories: Lab 5: Javascript
Week 10: 5 November 9 November
Lecture: HTML forms
Laboratories: Lab 6: Javascript + Dom
Week 11: 12 November - 16 November
Lecture: More on Javascript + DOM + CSS
Laboratories: Lab 7: Javascript Events
Week 12: 19 November - 23 November
Lecture: Putting it together HTML Forms + Javascript
Laboratories: Practice Lab Test
Week 13: 27 November 1 December
Lecture: Course wrap up (In-class exam #2 for Session B)
Laboratories: Lab Test #2
Week 14: 4 December
Lecture: In-class exam #2 (Sessions A & C)
Laboratories: No Lab

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