Differences

This shows you the differences between two versions of the page.

--- start [2013/04/16 14:48] – wildes
+++ start [2014/07/04 18:25] (current) – wildes
@@ Line 1: / Line 1: @@
 ~~NOTOC~~
-====== CSE 1020  ======
+====== CSE 1001  ======
-===== CSE 1020: Introduction to Computer Science I =====
+===== CSE 1001: Research Directions in Computing =====
+/*
 <html><!-- **Announcements related to the course throughout the term are posted on the course forum.**
@@ Line 9: / Line 10: @@
 **To get started, you can download the Guided Tour, by clicking on the second link in the sidebar.**  --></html>
+*/
-===== Summer Term 2012-13  =====
+===== Fall and Winter Terms 2014-15  =====
-The course lays the conceptual foundation of object-oriented programming. It covers
+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 local industry as well as a set of other organised events that will introduce the students to the breadth of computer science.
-    * delegation and contracts,
-    * encapsulation and API programming,
-    * aggregation and the collections framework, and
-    * inheritance and polymorphism,
-all from the client's perspective.
-It also covers language-specific topics such as
-    * types,
-    * control structures,
-    * and exception handling.
-The coverage is done within the framework of the software development process, and emphasizes software engineering throughout.
-Emphasis is placed on the development of theoretical concepts, and the acquisition of intellectual and practical skills. The course is intended for prospective computer science, computer security, and computer engineering majors with strong mathematical, analytical, and language abilities. Students who seek a quick exposure to applications or programming might instead consider CSE 1520, CSE 1530, or CSE 1540.
-Course exercises require problem solving, coding, program testing, and analysis of results. This course is demanding in terms of time; it requires the student to put in many hours of work per week outside of lectures.
-===== Lecture Times =====
-  * Tuesdays and Fridays, 18:00 - 19:30, CB 121
-===== Lab session =====
-  * Tuesdays and Thursdays (back-up), 19:30-21:00, LAS 1006