Note: This unit is an archived version! See Overview tab for delivered versions.
INFO1103: Introduction to Programming (2017 - 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: |
Dr Stavrakakis, John
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| Session options: | Semester 1, Semester 2 |
| Versions for this Unit: |
| 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 and 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: |
Dr Stavrakakis, John
Professor Takatsuka, Masahiro |
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| Tutor/s: |
Tyson Thomas Zhizhou Yin Mansour Khelghatdoust Waiho Wong Farahnaz Yekeh Natalie Tridgell Henry Petersen Gladys Wong Jonathan Du Madeleine Wagner Aaron Clements Gengxing Wang Nolan Huang Frank Zhu Weiqing Cao Shane Arora Scott Maxwell Rim Haidar |
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| Timetable: | INFO1103 Timetable | |||||||||||||||||||||||||
| Time Commitment: |
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| T&L Activities: | 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 |
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 object-oriented 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: |
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| Assessment Description: |
* indicates an assessment task which must be repeated if a student misses it due to special consideration. A repeated assessment`s questions/tasks may vary from the original. Tutorial participation: attendance, contribution to tutorial discussion and performance in online challenges. The challenges are a series of programming exercises to be completed throughout the semester. Challenges are released regularly and have varying submission dates. Late enrolments (up to week 4) will be able to submit prior weeks. Quiz 1 & 2 - 40 minutes: A pen and paper exercise to test both knowledge and skills of course materials in the semester thus far. Assignments - Demonstrating programming ability from specification - To be completed on campus using standard computer environment Final Exam - The final exam covers all aspects of the course and may involve answering questions about the Java language, reading short programs and writing short programs, testing, and demonstrating knowledge involving objects, recursion and inheritance. Late submission of challenges is 50% per day unless otherwise stated in the challenge specification. For other assessments: non-attendance for in lab assessment tasks, such as manual marking, or exercises, will award zero marks, unless special consideration is granted. |
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| Assessment Feedback: | The tutor will be grading the assignment and will provide the information to the student in the software/websites available. | ||||||||||||||||||||||||||||||||||||||||||||||||
| Grading: |
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| 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 See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies. |
| Prescribed Text/s: |
Note: Students are expected to have a personal copy of all books listed.
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| 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.
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| Note on Resources: |
There is a prescribed text for this unit. Others are highly recommended. The text is used to provide extra support for reading and practice and its exercises are an excellent way to study for this unit. Each chapter also has a graphics supplement, which is not required material but it is intended that they will provide a suitable challenge for students looking to stretch themselves. |
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 | Lab: Programming basics |
| Lecture: Introduction to the unit, fundamental concepts, first program | |
| Week 2 | Lecture: Numerical, Boolean and String variables; expressions |
| Lab: Variables and Types | |
| Week 3 | Lecture: Control Flow 1: Branching (IF and WHILE) |
| Lab: Branching and Loops | |
| Week 4 | Lecture: Control Flow 2: iteration (FOR), Arrays |
| Lab: Loops and the Design Process | |
| Week 5 | Lecture: Methods |
| Lab: Arrays and Objects | |
| Assessment Due: Assignment 1 | |
| Week 6 | Lecture: Exceptions, File input/output |
| Lab: Methods and Exceptions | |
| Week 7 | Lab: Files and Classes |
| Lecture: Classes and Objects | |
| Assessment Due: Assignment 2 | |
| Week 8 | Lecture: Classes and methods, testing |
| Lab: More on classes | |
| Assessment Due: *Quiz 1 | |
| Week 9 | Lecture: Design problems with Classes and Methods |
| Lab: Testing and Multi-class Programs | |
| Week 10 | Lecture: Programming idioms, inheritance |
| Lab: Using classes | |
| Assessment Due: Assignment 3 | |
| Week 11 | Lecture: Collections, Recursion |
| Lab: Idioms and Inheritance | |
| Week 12 | Lecture: Inheritance, Multidimensional arrays |
| Lab: Collections and recursion | |
| Assessment Due: *Quiz 2 | |
| Week 13 | Lecture: Revision and Examination overview |
| Lab: Revision | |
| Exam Period | Assessment Due: Final Exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
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.
