成人大片

Teaching Period	Course Coordinator
Trimester 1	Dr Cheryl Pope
Trimester 2	Dr Damith Ranasinghe

Lecturer: Mr Kwang Hua Lim

The full timetable of all activities for this course can be accessed from

The key learning objectives for this course are:

1. Design, implement and test algorithms using fundamental programming constructs and data structures
2. Translate between machine level representations and demonstrate how data is represented in computers
3. Identify, evaluate and use information sources to support the practice of programming, including APIs, tutorials and documentation

Text book:
There is no required text. The course will make use of various resources available online.

If you prefer to have a textbook for reference, we recommend Walter Savitch, “Problem
Solving with C++ 8th ed” ISBN-10: 0132162733 • ISBN-13: 9780132162739
©2012 • Addison-Wesley

The School of Computer Science uses a variety of e-learning tools to support traditional face-to-face lectures, tutorials and workshops.  These tools provide access to various features including announcements, course materials, discussion boards and assessments for each course of study.  Online learning resources can be accessed by selecting your course from .

This course is offered in blended learning mode with the face-to-face component offered as
intensives.

As a guide, a 3 unit course comprises a total of 144 hours work (this includes face-to-face
contact, any online components, and self directed study).

1. Unix/Subversion basics, use of libraries, variables, constant, string literals, expressions, operators, basic types /representation, conditionals/loops, functions, basic I/O, algorithms and program structure, coding style.
2. Arrays, vectors and structs, number representation, pointers and dynamic storage, memory allocation and freeing, call by reference, call by pointer, call by value , testing and defensive programming.
3. Programming languages and paradigms, procedural vs object oriented design, class definitions, class members, class methods / procedures, class implementations.
4. Overloading operators and methods, copy constructors, static class members.

Students are expected to complete work and practice programming outside of intensive times. The lab at NAAEC has all the required resources for the course.

An overview of the course assessment appears in the following Table. Details appear in the following section:

During practical lab sessions, you are encouraged to collaborate with your classmates. This extends to discussing ideas, alternatives, possible solutions and questions about material discussed in class. It does not permit copying of code from classmates. All code you submit must be your own. Practical exams are individual and you must not consult classmates in developing your solutions.

Assessment No. Form of Assessment/ Collaborative Task Indiv or Collab Weighting Learning objective covered (see 2.1 for detail)

1 Practicals Collaborative 20% 1,2,3
2 Prac Exams Individual 20% 1
3 Final Theory Exam Individual 30% 1,2,3
4 Final Practical Exam Individual 30% 1

Total 100%

Students must achieve a minimum of 40% of available marks in the four assessment components given above and must achieve a total mark of at least 50% to be eligible to pass the course.

Students must complete all course assessment requirements and must attend lectures to be eligible to pass the course.

Course results are subject to moderation by the School of Computer Science Assessment coordinator.

An overview of the course assessment appears in the following Table. Details appear in the following section:

During practical lab sessions, you are encouraged to collaborate with your classmates. This extends to discussing ideas, alternatives, possible solutions and questions about material discussed in class. It does not permit copying of code from classmates. All code you submit must be your own. Practical exams are individual and you must not consult classmates in developing your solutions.

Assessment No. Form of Assessment/ Collaborative Task Indiv or Collab Weighting Learning objective covered (see 2.1 for detail)
1 Practicals Collaborative 20% 1,2,3
2 Prac Exams Individual 20% 1
3 Final Theory Exam Individual 30% 1,2,3
4 Final Practical Exam Individual 30% 1
Total 100%
Assessment Related Requirements

Students must achieve a minimum of 40% of available marks in the four assessment components given above and must achieve a total mark of at least 50% to be eligible to pass the course.

Students must complete all course assessment requirements and must attend lectures to be eligible to pass the course.

Course results are subject to moderation by the School of Computer Science Assessment coordinator.
Assessment Detail

Assessment 1: Practicals
Weighting: 20%
Due Dates: please note schedule on course website. Some practicals will be undertaken during class time and some must be completed in between intensive sessions.
Submission Details: Online through course website

Task: Design, test and implement solutions to the practical problems.

Scope: Each practical will assess your understanding of the course material covered during the prior session. Practical work is both summative (assessing your understanding) and formative (used to give you feedback and help you prepare for practical exams) - see schedule above.

Students are encouraged to work collaboratively on practicals. Final submission must be the students own work, unless specified otherwise by the lecturer. ie students are encouraged to share ideas, but should not share actual code.

Criteria by which your assignment will be marked: Practicals will be assessed on design, functionality, testing and program style.

Learning objectives with this assessment (refer to section 2.1): 1,2,3

Assessment 2: Practical Exams
Weighting: 20%
Due Dates: please note schedule on course website. Practical exams will be held during intensives. Submission Details: Online through course website Task: Design, test and implement solutions to the practical problems.

Scope: Practical exams are summative assessment and cover all topics up to the time of the practical exam - see schedule.

Criteria by which your assignment will be marked: Practical exams will be assessed on design, functionality, testing and program style.

Learning objectives with this assessment (refer to section 2.1): 1

Assessment 3: Final Theory Exam
Weighting: 30%
Due Dates: The final theory exam will be scheduled during the examination period
Submission Details: Written Exam

Task: The theory exam assesses students depth of knowledge of programming constructs in general, tradeoffs of memory and cpu use in algorithms and data representation.

Scope: 60 minute written exam. Covers material from all of course.

Criteria by which your assignment will be marked: Correctness of answers.

Learning objectives with this assessment (refer to section 2.1): 1,2,3

Assessment 4: Final Practical Exam
Weighting: 30%
Due Dates: The final practical exam will be scheduled during the examination period
Submission Details: Lab Exam

Task: Design, test and implement solutions to the practical problems.

Scope: 60 minute lab exam. Covers material from all of course.

Criteria by which your assignment will be marked: Practicals will be assessed on design, functionality, testing and program style.

Learning objectives with this assessment (refer to section 2.1): 1

All practical based assignments must be submitted via the web submission system. Please see the course website for links.

There are a few points to note about the submission of assignments:

· Assignment Submission: Assignments should not be emailed to the instructor but should be lodged via the web submission system. Note that assignments may be processed via online plagiarism prevention tools.

· Backup Copy of Assignments: All practical work is to be stored in your SVN repository. Failure to use the repository and any subsequent loss of work will not be grounds for extensions.

· Extensions of Time: Any request for an extension of time for the submission of an assignment should be made well before the due date of the assignment to the Course Coordinator. Normally, extensions will only be granted for a maximum of two weeks from the original assignment submission date. Extensions will only be granted in cases of genuine extenuating circumstances and proof, such as a doctor’s certificate, is required.

· Failure to submit: Failure to submit an assignment on time or by the agreed extension deadline will result in penalties and may incur a fail grade. Note that a late penalty of 25% of the total available marks for that assessment item will be incurred each day an assignment is handed in late. Assignments handed in after 4 days from the due submission date will receive a mark of 0% even if a 100% mark is granted for the work.