ARTS 2002 - Complex Problem Solving

North Terrace Campus - Semester 1 - 2020

In a world defined by complexity, uncertainty, and an abundance of information, possessing effective problem-solving techniques can make the difference between mastery of situations, or being overwhelmed by them. Complex Problem Solving aims to equip students with practical and broadly applicable thinking skills. It will enhance students? awareness, analytical ability, and capacity to adapt to new challenges. This course is designed to enable you to identify and comprehend complex problems and gain familiarity with a suite of practical problem-solving techniques. At the completion of the course you will be able to employ lateral and critical thinking skills to decide: what is the problem, how can I effectively address it, what techniques would I use, and How will I know if I have successfully addressed the problem? This course is drawn from research across several disciplines, including philosophy, logic, operations research, behavioural economics, psychology, and neuroscience. By integrating a combination of techniques from these fields, this course recognises that there are several ways to identify, understand, and address complex problems. All too frequently the solution to a complex problem is only as good as the techniques that were employed to develop it, so being a confident and competent problem solver is very important. In order to promote competence and confidence, this course employs a combination of explanations, examples, and opportunities to put concepts into practice, with both team activities and individual tasks to encourage reflection

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Course Details

Course Code	ARTS 2002
Course	Complex Problem Solving
Coordinating Unit	Arts Faculty Office
Term	Semester 1
Level	Undergraduate
Location/s	North Terrace Campus
Units	3
Contact	Up to 4 hours per week
Available for Study Abroad and Exchange	Y
Prerequisites	At least 12 units of Level I undergraduate study
Assessment	Short online test 30%, Team presentation of Findings 30%, Reflective document 40%

Course Staff

Course Coordinator: Mr David Olney

Course Timetable

The full timetable of all activities for this course can be accessed from Course Planner.

Learning Outcomes

Course Learning Outcomes

No information currently available.

University Graduate Attributes

No information currently available.
Learning & Teaching Activities

Learning & Teaching Modes

No information currently available.

Workload

No information currently available.

Learning Activities Summary

No information currently available.

The University's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here reflect recent updates.

Assessment Task	Weighting
Multiple Choice Test #1	5%
Multiple Choice Test #2	5%
Major Essay (3,000 words)	50%
Individual or Team Report Presentation	15%
Individual or Team Report	25%

Assessment Detail

No information currently available.

Submission

No information currently available.

Course Grading

Grades for your performance in this course will be awarded in accordance with the following scheme:

M10 (Coursework Mark Scheme)
Grade	Mark	Description
FNS		Fail No Submission
F	1-49	Fail
P	50-64	Pass
C	65-74	Credit
D	75-84	Distinction
HD	85-100	High Distinction
CN		Continuing
NFE		No Formal Examination
RP		Result Pending

Further details of the grades/results can be obtained from Examinations.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through Access Adelaide.

Student Feedback

The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

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Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator