PURE MTH 2106 - Algebra II
North Terrace Campus - Semester 1 - 2019
General Course Information
Course Code PURE MTH 2106 Course Algebra II Coordinating Unit School of Mathematical Sciences Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3.5 hours per week Available for Study Abroad and Exchange Y Prerequisites MATHS 1012 Course Description Knowledge of group theory and of linear algebra is important for an understanding of many areas of pure and applied mathematics, including advanced algebra and analysis, number theory, coding theory, cryptography and differential equations. There are also important applications in the physical sciences.
Topics covered are (1) Equivalence relations (2) Groups: subgroups, cyclic groups, cosets, Lagrange's theorem, normal subgroups and factor groups. Examples of finite and infinite groups, including groups of symmetries and permutations, groups of numbers and matrices. Homomorphism and isomorphism of groups. (3) Linear algebra: vector spaces, bases, linear transformations and matrices, subspaces, sums and quotients of spaces, dual spaces, bilinear forms and inner product spaces, and canonical forms.
No information currently available.
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
- Appreciate that common features of certain mathematical objects can be abstracted and studied.
- Understand equivalence relations and partitions.
- Understand the concepts of groups, group homomorphism and isomorphism and related notions.
- Be familiar with common examples of groups of both finite and infinite order.
- Be able to construct and work with related objects: subgroups, cartesian products, quotient groups.
- Understand the concepts of vector space, linear transformation, isomorphism and related notions.
- Be able to construct and work with related objects: subspaces, sums, quotient spaces, dual spaces.
- Be able to represent a linear transformation by a matrix with respect to given ordered bases.
- Understand the significance of Jordan canonical form.
- Understand the notion of bilinear form and inner product.
- Be familiar with various methods of proof, including direct proof, constructive proof, proof by contradiction, induction.
- Develop skills in creative and critical thinking, problem solving, logical writing.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
all Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
all Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
11,12 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
12 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
- Fraleigh, J. B.: A first course in abstract algebra (Addison Wesley).
- Durbin, J. R.: Modern algebra (Wiley).
- Herstein, I. N.: Topics in Algebra (Wiley).
- Lay, D. C.: Linear algebra and its applications (Pearson).
- Lipschutz, S.: Linear algebra (Schaum's Outline Series).
- Katznelson, Y. & Katznelson, Y. R.: A (terse) introduction to linear algebra (AMS).
Online LearningThis course uses Canvas for providing electronic resources, such as lecture notes, assignment papers, sample solutions, etc. It is recommended that students make appropriate use of these resourses.
Learning & Teaching Activities
Learning & Teaching ModesThis course relies on lectures as the primary delivery mechanism for the material. Tutorials supplement the lectures by providing exercises and example problems to enhance the understanding obtained through the lectures. Written assignments aid the learning of the material and provide assessment opportunities for students to gauge their progress and understanding.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload Hours Lectures 36 90 Tutorials 6 21 Assignments 5 45 Total 156
Learning Activities SummaryLecture Outline
- Equivalence relations (1 lecture).
- Groups, subgroups, symmetries, cyclic groups (3 lectures).
- Permutations, symmetric and alternating groups (2 lectures).
- Isomorphism of groups (1 lecture).
- Cosets and Lagrange's Theorem (3 lectures).
- Group homomorphisms (2 lectures).
- Normal subgroups and factor groups, simple groups, First Isomorphism Theorem (3 lectures).
- Vector spaces, subspaces, linear independence, basis, dimension (3 lectures).
- Linear and direct sums of spaces, quotient spaces (2 lectures).
- Linear transformations (1 lecture).
- Matrix with respect to basis, eigenvectors, similarity, dimension theorem (2 lectures).
- Projections, invariant spaces (1 lecture).
- Linear functionals and the dual space, second dual space (1 lecture).
- Bilinear forms, congruent matrices, symmetric bilinear forms, quadratic forms (2 lectures).
- Inner products, norm, distance, orthogonality (3 lectures).
- Linear operators, adjoints (3 lectures).
- Jordan canonical form (2 lectures).
- Tutorial 1: Groups.
- Tutorial 2: Permutations, isomorphism.
- Tutorial 3: Normal subgroups, quotient groups.
- Tutorial 4: Sums of spaces.
- Tutorial 5: Matrix of a linear transformation, linear functionals.
- Tutorial 6: Inner products.
Specific Course RequirementsNone.
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.
Component Weighting Objective Assessed Assignments 15% all Tutorials 2.5% all Mid-term test 22.5% 1-5, 11, 12 Final Exam 60% all
Assessment Related RequirementsAn aggregate score of at least 50% is required to pass the course.
Assessment Item Distributed Due Date Weighting Assignment 1 week 2 week 3 3% Assignment 2 week 4 week 5 3% Assignment 3 week 6 week 7 3% Assignment 4 week 8 week 9 3% Assignment 5 week 10 week 11 3% Mid-term test week 6 week 6 22.5%
SubmissionAssignments will have a 2-week turn-around time for feedback to students.
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.
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