COMP SCI 1101 - Introduction to Programming

North Terrace Campus - Semester 2 - 2017

This course is designed for students with no prior programming experience. Students who have experience in procedural programming languages may consider taking COMP SCI 1102 Object Oriented Programming instead. This course introduces the fundamental concepts of procedural programming. Topics include data types, control 最新糖心Vlog, functions, arrays, files, and the mechanics of running, testing, and debugging. The course also offers an introduction to the historical and social context of computing and an overview of computer science as a discipline. - Algorithms and problem-solving: Problem-solving strategies; the role of algorithms in the problem-solving process; implementation strategies for algorithms; debugging strategies; the concept and properties of algorithms - Fundamental programming constructs: Syntax and semantics of a higher-level language; variables, types, expressions, and assignment; simple I/O; conditional and iterative control 最新糖心Vlog; functions and parameter passing; structured decomposition - Fundamental data 最新糖心Vlog: Primitive types; arrays; records; strings and string processing - Software development methodology: Fundamental design concepts and principles; testing and debugging strategies; test-case design (black box testing and requirements testing); unit testing; programming environments - Human-computer interaction: Introduction to design issues - Social context of computing: History of computing and computers; evolution of ideas and machines; social impact of computers and the Internet; professionalism, codes of ethics, and responsible conduct; copyrights, intellectual property, and software piracy.

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Course Details

Course Code	COMP SCI 1101
Course	Introduction to Programming
Coordinating Unit	Computer Science
Term	Semester 2
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 6 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	SACE Stage 2 Mathematical Studies or equivalent
Incompatible	COMP SCI 1008, COMP SCI 1201, COMP SCI 2202, COMP SCI 2202b, COMP SCI 1104
Restrictions	Available to B Eng (Software Engineering) and other non-Engineering degree students only
Assessment	Written exam, assignments

Course Staff

Course Coordinator: Ms Alicia Zakarevicius

Lecturer: Alicia Zakarevicius

Course Timetable

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

Course Learning Outcomes

On successful completion of this course students will be able to:

1	confidently design algorithms to solve simple problems,
2	be able to implement those algorithms in the Processing programming environment,
3	be able to correct, test and debug Processing programs, and
4	be able to explain how algorithms and Processing programs work.

The above course learning outcomes are aligned with the Engineers 最新糖心Vlog .
The course is designed to develop the following Elements of Competency: 1.1 1.2 1.3 2.1 2.2 2.3 3.2 3.3 3.6

最新糖心Vlog Graduate Attribute	Course Learning Outcome(s)
Deep discipline knowledge informed and infused by cutting edge research, scaffolded throughout their program of studies acquired from personal interaction with research active educators, from year 1 accredited or validated against national or international standards (for relevant programs)	1
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
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	3,4
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	1,2,3,4
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	4
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	3,4

Learning & Teaching Modes

In this course, you will receive a workshop and a practical session every week.

Workshops are two-hour activities that involve whole class and small group collaborative work and demonstrations. In these sessions, students will work with academic staff through the practical application of concepts discussed in on-line materials to aid understanding. Activities will include mini-lectures, guided discussions, tutorial-style questions and a lot of collaborative activity.

Practical sessions are two-hour activities that involve the evaluation and assessment of student understanding. In practical sessions, students will be asked to complete a series of practical problems, which will then be assessed during the session. Some of these practical sessions will be held under examination conditions.

Computer Science Learning Centre: the learning centre, Level 1, Engineering Maths, provides one on one support for first year Computer Science courses, and a space for first year students to study. If you are having trouble with your courses, please attend the Learning Centre for assistance, or contact your lecturers.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

Students are expected to spend 10-12 hours per three unit course. This includes approximately 4 hours of contact time per week, 2 hours of on-line activity, and approximately 6 hours of independent study time.

Learning Activities Summary

This course consists of the following key topics:

Topic	Description
Course Introduction	The workshop for this course introduces you to the course requirements and to the laboratory environment that you will be using throughout the course.
Topic 1: Intro	Introduction to Processing and the on-line environment
Topic 2: Introductory programming	In this topic you will learn the fundamentals of programming, including key concepts such as variables, constants, data types, iteration, selection, functions, problem solving skills and algorithm development. You will learn how to create and modify images to demonstrate your programming skills
Topic 3: Intermediate Programming	In this final topic, you will learn more advanced programming concepts, such as the use of more complex data 最新糖心Vlog, testing and software engineering strategies, and gain experience in the design and development of more complex algorithms. We will explore a more complex media manipulation project that you will undertake as a group.

The 最新糖心Vlog'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

This course is assessed with a combination of examination and continuous assessment work.

Task	Weighting
Practical Assignments	15%
Practical Examinations	10%
Group Assignment	20%
Weekly Quizzes	5%
Workshops	10%
Final written examination	40%

Students are required to complete weekly practical assignments and one group assignment (in the second half of the semester). Examination assessment will include examination through two practical examinations held during the semester, and a written examination held at the end of semester.

Students will also be assessed for their contribution and participation in the weekly workshop sessions.

Assessment Related Requirements

You are required to achieve at least the minimum standard for the examination for this course, at least 40% of the available marks for the final written examination, as well as a grade of 50% overall to pass the course.

Assessment Detail

Practical Assignments: from Week 2, you are required to attend weekly practical sessions, during which you will be assessed on the satisfactory completion of a series of practical questions. You must prepare answers to these questions before you attend the practical session. The assessment of this work will include design, functional implementation, testing and your ability to explain and analyse your work. Your marks for the practical sessions will be based on what you demonstrate in the session and will be recorded in the School's web submission system. Where you are producing code you will be expected to submit a PDE file to the course myuni pages for that week.

Practical Examinations: two of the weekly Practical Sessions will be devoted to Practical Examinations. During this examination session, you will be required to complete a series of practical questions under examination conditions.

Group Assignment: during the second half of semester you will be required to complete a group programming assignment, involving the creation of your own project. Sample topics will be provided to you, however, you are will be able to select your own topic based on approval by your lecturers. This assignment will be assessed on your design, documentation, testing, functional implementation and presentation.

The assignment will be assessed through a combination of in-workshop assessment and assessment of the final submitted entity.

Workshops: the weekly workshop sessions require you to complete a series of collaborative, group-based activities. During these workshop sessions, you will be assessed on your participation and contribution to your group.

Quizzes: Starting from the latter half of week 1 there will be quizzes on the MyUni system that you take to revise the videos and content for that week.

Final Examination: your final examination is your main assessment component, combining assessment of practical skills (development of algorithms, code development, testing and analysis, etc) and theoretical skills (understanding of concepts, analysis of concepts, the ability to compare and contrast, etc). Frequent revision of the course content, participation in the course activities, and successful completion of the assessment activities throughout the semester will be a crucial step towards the successful completion of this examination.

Submission

Practical work, the practical examinations and workshop participation will be assessed during your scheduled course activities.

If you are unable to attend a practical session, due to medical or compassionate circumstances, you are able to submit your work at the next available practical session. Your marks for that assignment will be capped at 50%.

The group assignment will be assessed through a combination of in-workshop assessment and assessment of the final submitted entity, details of this final submission will be detailed on the MyUni Canvas page.

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 .

Student Feedback

The 最新糖心Vlog 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 最新糖心Vlog 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.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

The 最新糖心Vlog of Adelaide is committed to regular reviews of the courses and programs it offers to students. The 最新糖心Vlog of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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