ARTS102-23S2 (C) Semester Two 2023

Problems, questions, evidence

15 points

Details:
Start Date: Monday, 17 July 2023
End Date: Sunday, 12 November 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 30 July 2023
  • Without academic penalty (including no fee refund): Sunday, 1 October 2023

Description

To answer many of the world’s most challenging questions e.g. those related to healthcare, social justice, poverty, climate change, and how we deal with global pandemics we need to understand evidence. This can come in various forms text, images, numbers. Evidence can be a driver for major decision making, help us to gain insight and form connections between issues, and reveal patterns and trends that would otherwise be hidden from us. How do we confidently assess evidence like this? Our decision-making is very often based on the numbers that shape the world we live in. In this course we will explore how to think quantitatively and qualitatively about the evidence behind the world’s ‘wicked problems’, and our ideals now and in the past. Subjects touched on will include public health crises, gender and ethnicity biases in the media, the representation of minority groups in the criminal justice system, and symmetry and patterns in art, literature, and other forms of human expression. The skills you will learn--of evaluating the evidence behind big issues and ideals of the day, and being able to communicate those issues to others--will be of value no matter what your course of study or future walk of life.

We live in a brave new world of social media, fake news and manufactured conspiracy theories, in which we are constantly bombarded with competing claims about what's real. How is one to navigate through this sea of information, misinformation and disinformation, in order to reach a decision about which claims to accept, and which to reject? ARTS102 is about the answer to this question. It will teach you how to evaluate the evidence for a claim in order to reach a conclusion about the claim's plausibility.

Learning Outcomes

By the end of the course, students will be able to:

(1) Demonstrate how to think creatively and critically about how quantitative claims are to be assessed
(2) Identify common biases and weaknesses in human reasoning
(3) Articulate the role of chance and uncertainty
(4) Describe how hypotheses can be framed and tested
(5) Identify symmetry and patterns in art, literature, and other forms of human expression
(6) Explain how we can model our world

Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Friday 11:00 - 12:00 A3 Lecture Theatre 17 Jul - 27 Aug
11 Sep - 22 Oct
02 Friday 13:00 - 14:00 A3 Lecture Theatre 17 Jul - 27 Aug
11 Sep - 22 Oct
03 Friday 17:00 - 18:00 Recording Available 17 Jul - 27 Aug
11 Sep - 22 Oct
Pals A
Activity Day Time Location Weeks
01 Wednesday 11:00 - 13:00 Karl Popper 413 24 Jul - 27 Aug
11 Sep - 22 Oct
02 Friday 14:00 - 16:00 Psychology - Sociology 251 24 Jul - 27 Aug
11 Sep - 22 Oct
03 Thursday 12:00 - 14:00 Jack Erskine 340 24 Jul - 27 Aug
11 Sep - 22 Oct
Tutorial A
Activity Day Time Location Weeks
01 Wednesday 16:00 - 17:00 Zoom 24 Jul - 27 Aug
11 Sep - 22 Oct
02 Wednesday 16:00 - 17:00 Ernest Rutherford 140 24 Jul - 27 Aug
11 Sep - 22 Oct
03 Tuesday 10:00 - 11:00 Psychology - Sociology 210 24 Jul - 27 Aug
11 Sep - 22 Oct
04 Wednesday 09:00 - 10:00 Jane Soons 602 24 Jul - 27 Aug
11 Sep - 22 Oct
05 Tuesday 16:00 - 17:00 Ernest Rutherford 260 24 Jul - 27 Aug
11 Sep - 22 Oct
06 Monday 10:00 - 11:00 Psychology - Sociology 210 24 Jul - 27 Aug
11 Sep - 22 Oct
07 Monday 10:00 - 11:00 Ernest Rutherford 225 24 Jul - 27 Aug
11 Sep - 22 Oct
08 Tuesday 16:00 - 17:00 Ernest Rutherford 141 24 Jul - 27 Aug
11 Sep - 22 Oct
09 Monday 11:00 - 12:00 Ernest Rutherford 260 24 Jul - 27 Aug
11 Sep - 22 Oct
10 Thursday 10:00 - 11:00 John Britten 117 HP Seminar Room 24 Jul - 27 Aug
11 Sep - 22 Oct
11 Wednesday 10:00 - 11:00 Jane Soons 602 24 Jul - 27 Aug
11 Sep - 22 Oct
12 Wednesday 14:00 - 15:00 Jane Soons 602 24 Jul - 27 Aug
11 Sep - 22 Oct
13 Thursday 10:00 - 11:00 Jack Erskine 240 24 Jul - 27 Aug
11 Sep - 22 Oct
14 Monday 12:00 - 13:00 Ernest Rutherford 260 24 Jul - 27 Aug
11 Sep - 22 Oct
15 Monday 12:00 - 13:00 Jack Erskine 111 24 Jul - 27 Aug
11 Sep - 22 Oct
16 Wednesday 10:00 - 11:00 Psychology - Sociology 210 24 Jul - 27 Aug
11 Sep - 22 Oct

Assessment

Assessment Due Date Percentage  Description
Tutorial participation 10% Each week in your scheduled tutorial.
Quizzes/activities 20% 4% each, best five count for 20% total. Due dates will be provided on Learn.
Mid semester assessment 30% Collecting and presenting evidence. Choice of submission format.
Final assessment 40% Choice of essay, data analysis and report, or Maths Craft activity and reflection.


NOTE: All assessments are due at midnight (or at one minute to midnight, to be precise).

Textbooks / Resources

There is no required textbook for this course.  Essential readings will be a posted on Learn.

To access the Learn page for the course, go to www.learn.canterbury.ac.nz, and log in with your usual UC username and password. You will see a menu of the courses you are enrolled in.

Indicative Fees

Domestic fee $821.00

International fee $3,750.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Faculty of Arts .

All ARTS102 Occurrences