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INFO1103: Introduction to Programming (2012 - Semester 1)

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Unit: INFO1103: Introduction to Programming (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Junior
Faculty/School: School of Computer Science
Unit Coordinator/s: A/Prof Charleston, Michael
Session options: Semester 1, Semester 2
Versions for this Unit:
Site(s) for this Unit: http://sydney.edu.au/engineering/it/~info1103/
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Programming in a legible, maintainable, reusable way is essential to solve complex problems in the pervasive computing environments. This unit will equip students with foundation of programming concepts that are common to widely used programming languages. The "fundamentals-first & objects-later" strategy is used to progressively guide this introductory unit from necessary and important building blocks of programming to the object-oriented approach. Java, one of the most popular programming languages, is used in this unit. It provides interdisciplinary approaches, applications and examples to support students from broad backgrounds such as science, engineering, and mathematics.
Assumed Knowledge: None.
Lecturer/s: A/Prof Charleston, Michael
Timetable: INFO1103 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.00 2 13
2 Laboratory 2.00 1 13
3 Independent Study 8.00 13

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Algorithm-based approach to problem solving Design (Level 2)
Basic programming and use of algorithms Engineering/IT Specialisation (Level 1)
Problem solving will require locating and using information effectively and efficiently. Information Seeking (Level 1)
Lab work will encourage collaboration, team work and communication. Communication (Level 1)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Engineering/IT Specialisation (Level 1)
1. Ability to read, understand and trace Java code
2. Basic experience of testing and debugging for basic Java programs
3. Understanding of the concepts of inheritance, polymorphism and interfaces.
4. Understanding of basic Java programming
5. Understanding of the fundamental concepts of object oriented programming
6. Ability to understand, modify and add functionality to Java programs
7. Ability to convert simple pseudo-code into Java code
8. Experience using the Java collections framework
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Task 1 No 2.00 Week 4 (Monday, 9 am) 1, 2, 4, 6, 7,
2 Quiz 1 No 5.00 Week 4 1, 4, 6, 7,
3 Task 2 No 2.00 Week 6 (Monday, 9 am) 2, 4, 6, 7,
4 Assignment 1 No 10.00 Week 7 (Monday, 9 am) 2, 3, 4, 6,
5 Task 3 No 2.00 Week 8 (Monday, 9 am) 2, 4, 6, 8,
6 Practical Quiz No 10.00 Week 8 2, 4, 6,
7 Task 4 No 2.00 Week 10 (Monday, 9 am) 2, 3, 4, 5, 8,
8 Quiz 2 No 5.00 Week 10 1, 2, 3, 4, 5,
9 Assignment 2 No 10.00 Week 12 (Monday, 9 am) 2, 3, 4, 5, 6, 7,
10 Task 5 No 2.00 Week 13 (Monday, 9 am) 2, 3, 4, 5,
11 Final Exam No 50.00 Exam Period 1, 2, 3, 4, 5, 6, 7, 8,
Assessment Description: Lab Exercises

- Students who enrol late into the course (by week 3) will be able to catch up on missed labs

Tasks

2% each, individual work. 1% penalty per day late or part thereof.

Assignments

10% each, individual work. 1% penalty per day or part thereof.

Final Exam

50% 2 hours, ``pen and paper`` exam. One A4 page of notes is permitted.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of IT may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

Faculty policies regarding academic honesty and plagiarism, special consideration and appeals in Engineering and Information Technologies can be found on the Faculty's policy page at http://www.eng.usyd.edu.au/policies"> http://www.eng.usyd.edu.au/policies. School and Faculty policies are governed by Academic Board resolutions whose details can be found on the Central Policy Online site at http://www.usyd.edu.au/policy/"> http://www.usyd.edu.au/policy/.

Policies regarding assessment formatting, submission methods, late submission penalties and assessment feedback depend on the unit of study. Details of these policies, where applicable, should be found above with other assessment details.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Online Course Content: There is no prescribed text for this unit, but there is a set of course notes available at http://sydney.edu.au/engineering/it/~info1103/ and on Blackboard.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction
HelloWorld, File System
Week 2 Primitive Data Types
Decision
Week 3 Iteration
Good Coding Standard
Week 4 Methods (1)
Assessment Due: Task 1
Assessment Due: Quiz 1
Week 5 Recursion
Methods (2)
Week 6 Classes and Objects (1)
Assessment Due: Task 2
Week 7 Classes and Objects (2)
Assessment Due: Assignment 1
Week 8 Collections
Collections
Assessment Due: Task 3
Assessment Due: Practical Quiz
Week 9 Text & File I/O
Unit Testing, Java API
Week 10 Arrays (1)
Assessment Due: Task 4
Assessment Due: Quiz 2
Week 11 Arrays (2)
Week 12 Inheritance and Polymorphism
Assessment Due: Assignment 2
Week 13 Review
Assessment Due: Task 5
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Bachelor of Computer Science and Technology 2015, 2016, 2017, 2025
Computer Engineering / Commerce 2010
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Commerce 2011, 2012
Electrical Engineering (Bioelectronics) / Medical Science 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2011, 2012
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Law 2010, 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Law 2014
Electrical Engineering 2015, 2016, 2017
Electrical / Arts (2022 and earlier) 2015, 2016, 2017
Electrical / Commerce 2015, 2016, 2017
Electrical / Project Management 2015, 2016, 2017
Electrical / Science 2015, 2016, 2017
Electrical / Law 2015, 2016, 2017
Electrical Engineering (mid-year) 2016, 2017
Software Engineering (mid-year) 2016, 2017
Software Engineering 2015, 2016, 2017
Software / Arts (2022 and earlier) 2015, 2016, 2017
Software / Commerce 2015, 2016, 2017
Software / Project Management 2015, 2016, 2017
Software / Science 2015, 2016, 2017
Software / Law 2015, 2016, 2017
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Software Engineering / Law 2010, 2011, 2012, 2013, 2014
Flexible First Year (Stream B) / Arts 2013, 2014
Flexible First Year (Stream B) / Commerce 2011, 2012, 2013, 2014
Flexible First Year (Stream B) / Science 2012, 2013, 2014
Flexible First Year (Stream B) / Medical Science 2012, 2013, 2014
Aeronautical Engineering / Science 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Science 2011, 2012, 2013, 2014
Biomedical Engineering / Science 2013, 2014
Chemical & Biomolecular Engineering / Science 2011, 2012, 2013, 2014
Civil Engineering / Science 2011, 2012, 2013, 2014
Aeronautical / Science 2015, 2016, 2017
Aeronautical (Space) / Science 2015
Biomedical Engineering (mid-year) 2016, 2017
Biomedical Engineering 2016, 2017
Biomedical /Science 2015, 2016, 2017
Chemical & Biomolecular / Science 2015
Civil / Science 2015
Mechanical / Science 2015, 2016, 2017
Mechanical (Space) / Science 2015
Mechatronic / Science 2015, 2016, 2017
Mechatronic (Space) / Science 2015
Mechanical Engineering (Biomedical) / Science 2011, 2012
Mechanical Engineering / Science 2011, 2012, 2013, 2014
Mechanical Engineering (Space) / Science 2011, 2012, 2013, 2014
Mechatronic Engineering / Science 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Science 2011, 2012, 2013, 2014
Project Engineering and Management (Civil) / Science 2011
Flexible First Year (Stream A) / Science 2012, 2013, 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Maths/Science Methods and Tools (Level 2) No 0%
Design (Level 2) Yes 0%
Engineering/IT Specialisation (Level 1) Yes 100%
Information Seeking (Level 1) Yes 0%
Communication (Level 1) Yes 0%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.