ENGSCI 760 : Algorithms for Optimisation
Engineering
2025 Semester One (1253) (15 POINTS)
Course Prescription
Course Overview
Heuristics (12 lectures)
Course Requirements
Capabilities Developed in this Course
| Capability 3: | Knowledge and Practice |
| Capability 4: | Critical Thinking |
| Capability 5: | Solution Seeking |
Learning Outcomes
- Understand and apply dynamic programming: create a dynamic programming model for an appropriate analytics problem, solve the model and describe the policy it gives (Capability 3.1, 3.2, 4.1 and 5.1)
- Understand and apply algorithms for modelling under uncertainty: construct analytics models, solve these models and analyse their solution (Capability 3.1, 3.2, 4.1 and 5.1)
- Understand and apply heuristic algorithms: devise and apply a meta-heuristic algorithm as part of applying local search to solve a problem (Capability 3.1, 3.2, 4.1 and 5.1)
Assessments
| Assessment Type | Percentage | Classification |
|---|---|---|
| 3 Assignments | 39% | Individual Coursework |
| Final Exam | 50% | Individual Examination |
| Test | 11% | Individual Test |
| 3 types | 100% |
| Assessment Type | Learning Outcome Addressed | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | ||||||||
| 3 Assignments | ||||||||||
| Final Exam | ||||||||||
| Test | ||||||||||
Exam:
The exam will be invigilated, in-person, and on-paper hand written.
A passing mark is 50% or higher, according to University policy.
Students must sit the exam to pass the course. Otherwise, a DNS (did not sit) result will be returned.
Policy on Late Assignment Submissions:
For Canvas Quizzes, or assignments given as Canvas Quizzes, no late submissions will be accepted. Once the due date / time is past, all active quizzes will be automatically submitted.
For written assignments, aim to have all files safely uploaded well before the due time. It is highly recommended that you upload draft copies of all files at least one day in advance of the deadline, in case of last-minute technical difficulties. Late submissions will be marked as usual, but will be subject to a linear penalty at 4% per hour (or part hour). This is automatically applied by Canvas.
Workload Expectations
This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.
This course involves 150 hours of study in total over 15 weeks. You can expect to spend 36 hours in lectures, another 36 hours reading and thinking about the content and 78 hours of work on assignments, test preparation and exam preparation.
Delivery Mode
Campus Experience
Attendance is expected at scheduled activities including lectures. Lectures will be available as recordings (subject to technology failures), but these are no substitute for lecture attendance. The activities for the course are scheduled as a standard weekly timetable.
Learning Resources
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
Health & Safety
Students must ensure they are familiar with their Health and Safety responsibilities, as described in the university's Health and Safety policy.
Student Feedback
At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.
Your feedback helps teachers to improve the course and its delivery for future students.
Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.
Other Information
1) Given the set X={A,B,C,D,E,F}, choose a random element from this set, i.e. choose some random y∈X.
2) Generate a vector/list that is a random ordering of X
3) Given a vector/list x=(x[1],x[2],x[3],x[4],..,x[n]), calculate f=∑ d(x[i],x[i+1]) (where i=1, 2, ..., n-1) where d(p,q)=(p-q)^2
4) Given the x above, and some j, k, form a new solution y which is the same as x except that the ordering of elements x[j], x[j+1], ..., x[k] has been reversed in y.
5) Using for loops (not built-in Python methods), combine two sets (ensuring duplicate items appear in the new set only once).
6) Assume now that the "sets" are stored in a sorted lists.Repeat step 5), showing how the the lists being sorted can make the merge more efficient.
Academic Integrity
The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework, tests and examinations as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. A student's assessed work may be reviewed against electronic source material using computerised detection mechanisms. Upon reasonable request, students may be required to provide an electronic version of their work for computerised review.
Class Representatives
Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.
Inclusive Learning
All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.
Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz
Special Circumstances
If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.
If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.
This should be done as soon as possible and no later than seven days after the affected test or exam date.
Learning Continuity
In the event of an unexpected disruption we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and your assessment is fair, and not compromised. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator, and if disruption occurs you should refer to the University Website for information about how to proceed.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.
Disclaimer
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.