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Unit of study_

COMP9001: Introduction to Programming

This unit is an essential starting point for software developers, IT consultants, and computer scientists to build their understanding of principle computer operation. Students will obtain knowledge and skills with procedural programming. Crucial concepts include defining data types, control flow, iteration, functions, recursion, the model of addressable memory. Students will be able to reinterpret a general problem into a computer problem, and use their understanding of the computer model to develop source code. This unit trains students with software development process, including skills of testing and debugging. It is a prerequisite for more advanced programming languages, systems programming, computer security and high performance computing.

Details

Academic unit Computer Science
Unit code COMP9001
Unit name Introduction to Programming
Session, year
? 
Semester 2, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
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None
Prerequisites
? 
None
Corequisites
? 
None
Available to study abroad and exchange students

Yes

Teaching staff and contact details

Coordinator John Stavrakakis, john.stavrakakis@sydney.edu.au
Tutor(s) Cindy Leong , cindy.leong@sydney.edu.au
Victor Kuo, victor.kuo1@sydney.edu.au
Type Description Weight Due Length
Final exam (Take-home extended release) Type E final exam Final Examination
open book computer exam + closed book oral exam. Conditions apply.
50% Formal exam period
Due date: 30 Nov 2020

Closing date: 01 Dec 2020
48 hours
Outcomes assessed: LO1 LO11 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Online task Lessons
Complete all Lecture & Tutorial Lessons. Tutorial participation required.
10% Multiple weeks 7 days
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Assignment Problem set 1
Solve computer programming problems before due date.
5% Week 03
Due date: 11 Sep 2020
14 days
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11
Assignment Assignment Dorrigo
Write a complete program from problem description
35% Week 10
Due date: 02 Nov 2020
21 days
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Type E final exam = Type E final exam ?
  • Lessons: 
    Weekly activities required to complete prior to the beginning of the tutorial class. Lectures and Tutorials are both included as part of the Lessons. Tutorial participation required to answer questions from tutor during tutorial as a part of the formative assessment.
     
  • Problem sets: 
    Several programming problems to be completed individually throughout the semester. May require submission of code, tests, reports, oral presentations. Format and submission details of problem sets to be provided on release.​
     
  • Final examination:
    The final exam covers all aspects of the course. Demonstrate knowledge in procedural programming. Reading and tracing through short programs. Writing short programs. Writing test cases and debugging with existing test cases. The final exam consists of a computer examination 34%, and an oral examination 66%.

    The computer examination is an open book examination that will require at most 4 hours to complete. This will be made available in the first 2 days of the examinations week.

    The oral examination will be administered in examinations week and will require working internet connection, video conferencing software (supported by University). The contents will examine the submitted open book examination.

Detailed information for each assessment can be found on the course website: edstem.org​

Special consideration
Lessons - Approved special consideration will be granted an extension to complete the Lesson and additionally be examined in an oral quiz online, based on the Lesson contents, that will contribute to the Lesson grade for that week. 
Problem sets - Approved special consideration will be granted an extension to complete the problem set and additionally be examined in an oral quiz online, based on the problem set contents, that will contribute to the grade for that problem set. 
Final examination – a replacement examination will be arranged, however the format may vary and further development may be required.

Conditions for pass in this course:
- At least 40% in the assessment grade
- At least 50% in the oral examination
- At least 50% in the computer examination
- At least 50% total

It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the formative assessment and 40% in the final exam. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average. 

Additionally for this course, any student not meeting the oral examination barrier of 50% will have their computer examination mark no more than the oral examination mark. Students may be asked for further development of their assessments if they fail to attend at least 80% of their tutorials.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

For more information see sydney.edu.au/students/guide-to-grades.

The tutor will provide feedback for the weekly Lesson during the tutorial.

Problem sets require online submission by the due date for checking by teaching staff.

The tutors will provide further feedback to students about correctness, style and testing.

Automatically graded submissions provide further feedback.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Late penalty for any online assessment is 25% per day. It is a cap based penalty: 1 day late, maximum attainable mark is 75%. 2 days late, maximum attainable mark is 50%. 3 days late, maximum attainable mark is 25%.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 1. Introduction to the unit; 2. Fundamental concepts; 3. First program Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO10 LO11
Programming basics. Online face to face. Tutorial (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO10 LO11
Week 02 1. Data types; 2. Variables, operators and expressions Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO10 LO11
1. Data types; 2. Expressions and variables; 3. The underlying memory model Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO10 LO11
Week 03 Control flow: Branching and loops Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11
Conditionals and loops Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO10 LO11
Week 04 1. Addressable memory; 2. Arrays, collections, testing Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
1. Defining and iterating arrays; 2. Collections of objects Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 05 1. Functions; 2. Basis of program design process; 3. Documentation and style Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Functions Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 06 1. Files and basic input/output; 2. Exception handling Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
1. Working with file input and output; 2. Exceptions Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 07 Writing tests and testing programs Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
1. Testing; 2. Software design process Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 08 Programming idioms Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Searching collections and error handling Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 09 1. Modular programming; 2. Defining datatypes using aggregate studctures Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Creating and working with aggregate data structures and their operations Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 10 1. Idioms 2; 2. Testing and Debugging Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Test driven development and debugging Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO9 LO10 LO11
Week 11 Recursion Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Reading, writing and tracing recursive code Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Week 12 1. Course review; 2. Final examination overview Lecture (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Revision Computer laboratory (2 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11

Attendance and class requirements

Course websites:

The course website on edstem.org will contain information, including important announcements. Teaching staff will be communicating to all students and it is considered part of the course. Students are expected to regularly visit this website to know these announcements and information concerning format and schedule of assessment. Canvas is a website that will be used to disseminate the online lecture recordings and for publishing of results. 

In person vs online attendance:

Students are asked to attend their tutorial class each week as part of their assessment. The university has allowed students the choice between attending on campus or online. In either case, students are advised to follow the procedures concerning changing attendance, or late attendance, or failure to attend. Such procedures will be presented in the course lectures.
 

About the seminar:

  • Attendance is not compulsory
  • It will not contain new content needed to complete this course
  • Seminar has value to those who need more help with reviewing material and programming exercises

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

  • Robert Sedgewick, Kevin Wayne, Robert Dondero – Introduction to Programming in Python: An Interdisciplinary Approach. Pearson Higher Ed USA, 2015. 9780134076430

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. employ programming style conventions for writing consistently readable code
  • LO2. design and construct new functionality to existing procedural program or function
  • LO3. compose a structured algorithmic design to solve the descriptive problem specification
  • LO4. compose an entire procedural program from descriptive problem specification
  • LO5. demonstrate knowledge of programming principles, data types, variables and operators, control-flow: simple statement sequence, if-then-else, while functions, stack, input/output, reference memory model
  • LO6. compose, analyse and trace procedural code. Scoping/variable lifetime, memory of the stack, references and global's, data types, operations on data types
  • LO7. construct code cliches for input and manipulating arrays, including maximum, minimum, search or traverse, with actions on each element for counting or summation
  • LO8. construct and assess code for recursively-defined numerical functions, and for recursively described array manipulations
  • LO9. apply testing methods and assess programs through debugging and write a set of tests for a small program or function
  • LO10. explain compilation process and debugging mechanism
  • LO11. use standard library functions.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
Students endorsed having weekly activities. They found them more rewarding for their learning and allowed them to keep up with the course. We have re-introduced them.

Every week students must:

  • Read the required sections of literature
  • Attend and take notes for the Live lecture (Mondays)
  • Watch and take notes for the Online lecture (via Canvas website)
  • Complete the weekly Lesson for Lecture
  • Prepare for the Tutorial by reviewing reading, lecture and tutorial questions 
  • Complete the weekly Tutorial before it commences (starting week 2)
  • Attend and participate in weekly Tutorial with tutor (as timetabled)

Additionally:

  • Students should ask questions on edstem.org
  • Students are encouraged to attend and/or watch the OPTIONAL seminar

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.