ENGF1112: Semester 1, 2023

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Units ENGF1112 Semester 1 2023 [Normal day]

Unit of study_

ENGF1112: Introduction to Engineering B

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit gives an introduction to the fundamentals of a range of computational, analytical, and design aspects for multiple specialisations in Engineering including Aeronautical, Mechanical, Mechatronic, Electrical, Computer, and Information Engineering. As such it will offer first-year students the opportunity to experience aspects of different engineering streams and thus prepare them for their future studies. An important ingredient in the unit is a group project which aims at developing the students’ skills in using first principles in system engineering designs for practical applications. The lectures will cover basic concepts from probability, signals and systems, dynamics and control, optimisation and learning, computing, communication, and information theory. These concepts will be motivated by a holistic view of engineering system design which requires a solid understanding of various fundamental concepts in engineering. The unit will also include tailored lab tours for the students in order to familiarize them with the hands-on aspects of various streams in engineering. Additionally, guest lectures by academics from the various streams will introduce the students to the structure and pathway for each stream. Throughout the unit, the students will be guided to identify the relationships between the knowledge gained and practical problems currently facing the society.

Unit details and rules

Unit code	ENGF1112
Academic unit	Engineering
Credit points	6
Prohibitions ?	ENGG2112
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Hesham El Gamal, hesham.elgamal@sydney.edu.au
Lecturer(s)	Hesham El Gamal, hesham.elgamal@sydney.edu.au
Lecturer(s)	Guodong Shi, guodong.shi@sydney.edu.au

Type	Description	Weight	Due	Length
Supervised exam ?	Final Exam Open book exam.	30%	Formal exam period	1.5 hours
Outcomes assessed:
Assignment	Design Project 1 Perform engineering modeling using probability, signals, and discrete dynam	15%	Week 04 Due date: 19 Mar 2023 at 10:24	4-6 pages.
Outcomes assessed:
Assignment	Design Project 2 Perform engineering analysis using control and optimisation	15%	Week 07 Due date: 09 Apr 2023 at 23:59	4-6 pages.
Outcomes assessed:
Assignment	Major Project Pitching Pitch design ideas and plan for a system engineering problem.	15%	Week 09 Due date: 30 Apr 2023 at 23:59	10-min presentation.
Outcomes assessed:
Assignment	Major Project Report Engineering report in structured and purposeful manner.	25%	Week 13 Due date: 28 May 2023 at 23:59	6-8 pages in IEEE double-column format.
Outcomes assessed:
= group assignment ?

Assessment summary

Major Project: Each project group is freely formed within the same tutorial group; each group should contain 4-6 members; the project pitching requires submission of a recorded, 6-min long, group presentation in Week 9; presentations will be held during Week 10 and Week 11 tutorial sessions where feedback on the feasibility of the project will be provided; each project group will submit a single final report; all members in the same project group will receive the same mark.
Design Projects: These are individual projects focusing on problem-solving skills with the knowledge covered in Module 1 and Module 2.

More detailed explanation and instructions on Assessment can be seen on Canvas.

Assessment criteria

Result Name	Mark Range	Description
High Distinction	85-100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard
Distinction	75-84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard
Credit	65-74	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard
Pass	50-64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard.
Fail	0-49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

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:

The Assessment Procedures 2011 provide that any written work submitted after 11:59pm on the due date will be penalised by 5% of the maximum awardable mark for each calendar day after the due date. If the assessment is submitted more than ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity 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 integrity breaches seriously.

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

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	Introduction/Module 1 (Modeling the environment)	Lecture and tutorial (3 hr)
Week 02	Module 1 (Modeling the Enviroment): Probability/Signals/Systems	Lecture and tutorial (3 hr)
Week 03	Module 2 (Understanding the Physics): Discrete dynamics	Lecture and tutorial (3 hr)
Week 04	Module 2 (Understanding the Physics): Control	Lecture and tutorial (3 hr)
Week 05	Module 2 (Understanding the Physics): Optimisation and Learning	Lecture and tutorial (3 hr)
Week 06	Module 3 (Connecting to Cyber World): From continuous to discrete and back	Lecture and tutorial (3 hr)
Week 07	Module 3 (Connecting to Cyber World): Information Theory	Lecture and tutorial (3 hr)
Week 08	Module 3 (Connecting to Cyber World): Communication	Lecture and tutorial (3 hr)
Week 09	Module 3 (Connecting to Cyber World): Computation	Lecture and tutorial (3 hr)
Week 10	Modeling and Computation in Aerospace, Mechanical, and Electrical Engineering	Lecture and tutorial (3 hr)
Week 11	Modeling and Computation in Mechatonic, Information and Computer Engineering	Lecture and tutorial (3 hr)
Week 12	Engineering & The World guest lecture series	Lecture and tutorial (3 hr)
Week 13	Course Summary: Engineering for good -- understanding societal impact of engineering	Lecture and tutorial (3 hr)
Weekly	5 hours for each week on studying lecture slides, notes, and recommended textbook, watching class recordings, working on assignments and projects	Independent study (65 hr)
Weekly	2 hours per week in holding Major Project group meetings or other forms of communications: exchanging project ideas, making project plans, reporting progress, and identifying issues.	Independent study (26 hr)

Attendance and class requirements

Students are expected to ado their best to attend all the lectures and tutorials.

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.

Learning outcomes

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.

Outcomes
Graduate qualities

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

LO1. Have a familiarity with the fundamentals of the computational, analytical, and design aspects In engineering, and their roles in different engineering disciplines and applications
LO2. Understand basic engineering modeling tools including probability, signals and systems, and dynamics
LO3. Understand engineering analysis and design tools including control, optimisation, and learning
LO4. Understand how computing and communication units are embedded in engineering systems
LO5. Be able to perform systemic engineering modeling and analysis using simulation software, and present results in engineering reports
LO6. Conduct system engineering designs in a major team project and communicate the work in structured presentations and reports

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
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

This is the first time this unit is offered

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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