COMP SCI 7202ANA - Foundations of Computer Science A
Ngee Ann Academy - Trimester 2 - 2016
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General Course Information
Course Details
Course Code COMP SCI 7202ANA Course Foundations of Computer Science A Coordinating Unit Computer Science Term Trimester 2 Level Postgraduate Coursework Location/s Ngee Ann Academy Units 3 Contact Up to 12 hours per week Available for Study Abroad and Exchange N Incompatible COMP SCI 7080 Restrictions For approved Master of Computing and Innovation, Graduate Diploma in Computer Science and Graduate Certificate in Computer Science students only. Assessment Written exam and/or assignments Course Staff
Course Coordinator: Associate Professor Damith Ranasinghe
Teaching Period Course Coordinator Trimester 1 TBD Trimester 2 TBD Trimester 3 TBD
Lecturer: Mr Kwang Hua LimCourse Timetable
The full timetable of all activities for this course can be accessed from Course Planner.
The full timetable of all activities for this course can be accessed from http://naa.edu.sg/student-services/timetables/ -
Learning Outcomes
Course Learning Outcomes
The key learning objectives for this course are:- Design, implement and test algorithms using fundamental programming constructs and data structures
- Translate between machine level representations and demonstrate how data is represented in computers
- Identify, evaluate and use information sources to support the practice of programming, including APIs, tutorials and documentation
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
1,2,3 -
Learning Resources
Required Resources
Text book:
There is no required text. The course will make use of various resources available online.Recommended Resources
If you prefer to have a textbook for reference, we recommend:
"Problem Solving with C++", 9e Global Edition, Walter Savitch, ISBN-13:9781292018249, Addison-Wesley, 2015.Online Learning
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 http://cs.adelaide.edu.au/degrees-courses. -
Learning & Teaching Activities
Learning & Teaching Modes
This course is offered in blended learning mode with the face-to-face component offered as intensives.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
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).Learning Activities Summary
- 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.
- 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.
- Programming languages and paradigms, procedural vs object oriented design, class definitions, class members, class methods / procedures, class implementations.
- Overloading operators and methods, copy constructors, static class members.
Specific Course Requirements
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. -
Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
* During practicals, 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.Assessments Assessment Task Task Type To Be Scheduled During Weighting Learning Outcome Practicals* Formative Face to face teaching. 20% 1,3 Practical Exams Summative Face to face teaching. 20% 1,3 Final Theory Exam Summative Examination Day. 30% 2,3 Final Practical Exam Summative Examination Day. 30% 1,3 Total 100%
Practical exams are individual and you must not consult classmates in developing your solutions.Assessment Related Requirements
Students must achieve a minimum of 40% of the available marks in the Final Theory Quiz and a minimum of 40% of the available marks in the Final Practical Exam. If a student has a final mark for the course greater than 44 F but, fails to achieve both of these requirements, the final mark for the course will be reduced to 44 F.Assessment Detail
Assessment: Practicals*
- Weighting: 20%
- Due Dates: please note schedule on course website. Some practicals will be undertaken during class time but some may be completed outside class times.
- Submission Details: Submit using the School of Computer Science Web Submission System.
- Task: Design, test and implement solutions to programming problems.
- Scope: These assess your understanding of the course material covered during prior classes.
- Criteria by which your assignment will be marked: design, functionality, testing and program style.
- Learning objectives: 1,3
- Weighting: 20%
- Due Dates: please note schedule on course website. Practical exams will be held during class time.
- Submission Details: Submit using the School of Computer Science Web Submission System.
- Task: Design, test and implement solutions to programming problems.
- Scope: These cover all topics up to the time of the practical exam.
- Criteria by which your assignment will be marked: design, functionality, testing and program style.
- Learning objectives: 1,3
- Weighting: 30%
- Due Dates: The final theory exam will be scheduled during the exmination day.
- 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 the course.
- Criteria by which your assignment will be marked: Correctness of answers.
- Learning objectives: 2,3
- Weighting: 30%
- Due Dates: The final practical exam will be scheduled during the examination day.
- Submission Details: Submit using the School of Computer Science Web Submission System.
- Task: Design, test and implement solutions to programming problems.
- Scope: 60 minute practical exam. Covers material from all of the course.
- Criteria by which your assignment will be marked: design, functionality, testing and program style.
- Learning objectives: 1,3
* During practicals, 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.
^The theory exam and practical exams are individual and you must not consult classmates in developing your solutions.Submission
Programming Assignment Submission
All programming practicals must be submitted using the School of Computer Science Web Submission System. Programming assignments must not be emailed to the lecturer. If you are unable to submit a programming assignment, ask for help.
Note: programming assignments may be processed using external online plagiarism detection tools.
Backup Copy of Programming Assignments
All programming assignments must be stored in your SVN repository. Failure to use the repository and any subsequent loss of work will not be grounds for an extension.
Late Penalties
Failure to submit a programming assignment on time or by the agreed extension deadline will result in penalties. For each day or part-day that a programming assignment is late, the maximum mark that can be awarded is reduced by 25%. The following table shows effect of the capping for different levels of marks:Late Penalties - Programming Practicals On time Mark One Day Late Two Days Late Three Days Late Four Days Late 100 75 50 25 0 75 75 50 25 0 50 50 50 25 0 25 25 25 25 0 0 0 0 0 0 Extensions
Any request for an extension of time for the submission of a programming assignment should be made well before the due date 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 evidence, such as a medical certificate, must be provided.
Practical Exams
If you are unable to attend a practical exam, you must contact the course coordinator as soon as practicable. If appropriate evidence can be provided, such as a medical certificate, alternative arrangements may be considered.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
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- Academic Progress by Coursework Students Policy
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- Modified Arrangements for Coursework Assessment Policy
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- Student Experience of Learning and Teaching Policy
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