EECE 310 Software Engineering

Lecture 0: Course Orientation

What is this course about?

 Building program modules  Programming in the large  Other skills – design, documentation, and testing 2

Building Program modules

 Abstraction mechanisms 1.

Procedures 2.

Exceptions 3.

Data abstractions 4.

Iteration abstraction 5.

Polymorphic abstractions 6.

Concurrent programming 3

Programming in the large

 How to design and implement large programs  Requirements analysis and specification  Design  Implementation and testing 4

Other skills

 Understand how individual activities are integrated into the software engineering life-cycle  Appreciate the value of good design and sound engineering principles in software construction  Apply sound techniques for writing specifications, building test-suites, developing design documents  Learn how software engineering works in the “real world” or at least the way it should  5

What is this course NOT about?

 Java language or its (or third party) libraries  Eclipse or any other integrated development environment (IDE) or build tool   Distributed systems, software security, databases, HCI, computer games, ...

Though you’ll use concepts learned in this class for these 6

• How is EECE 310 different from earlier software courses (pre-requisite classes) ?

APSC 160: Intro. to Computation in Eng. Design • Introduction to programming languages • • • • CPSC 260: Object-Oriented Program Design Data structures Introduction to OO

Abstraction Advanced OO

Emphasis on C/C++ language

Emphasis on Java

7

Mastery of CPSC 260 topics assumed

Why should you take this course ?

    Fundamental class in object-oriented design You will learn not just how to do it, but why do it that way Appreciation of design and aesthetics of software Learn to design robust and maintainable code  Many of the things you’ll learn have immediate applications (e.g., testing, specifications, design patterns)  If nothing else, you’ll develop an appreciation for large scale software development and its challenges 8

Course grading

 Assignments (50%)  Five assignments (10 % each)  Exams (45 %)   Mid-term (15 %) Final (30 %)  Class participation (5%)   In class activities Piazza 9

Labs and Assignments

  

Labs in MCLD 348 starting this week

The TAs will be there to answer questions And to grade assignments on the days they are due

Assignments: To be done in teams of two

   Same partner for all assignments preferred Same grade for both you and your partner You must individually be able to explain your solution    

Submission mechanics

You must attend labs on the days the assignments are due TAs will come to each computer and evaluate your solution Also, submit your code to the Tas for plagiarism checking 10

To succeed in this course …

  

Attend the lectures and participate in activities

We will have active learning components in each class Ask questions, come to office hours if needed    

The concepts may seem easy or even obvious sometimes, but they are hard to apply or get right

Try to solve the recommended exercises in the book Do the assignments yourself and don’t just hack them Understand the solutions to the quizzes/mid-term  11

You should expect to spend a significant amount of time outside class working on the assignments

Administrivia …

 Instructor: Karthik Pattabiraman ( [email protected]

)    TAs for the course: Frolin Ocariza Jr.

Anna Thomas    Office hours: Karthik’s office hours: Tuesdays 1 to 2 PM Anna and Frolin: During labs on Wed, and Thurs  Website: 12