cse2mlx machine learning
MACHINE LEARNING
CSE2MLX
2020
Credit points: 15
Subject outline
This subject introduces students to the fundamentals of machine learning (history, algorithm types, uses) and then covers an efficient implementation of machine learning algorithms on real-world data of moderate complexity using an open source ecosystem and MapReduce and R environments. Students explore the practical aspects of this subject using the AWS platform.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorRabei Alhadad
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesCSE1IOX AND CSE1CFX
Students must be admitted in the following course: SBACTO
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Machine Learning: Hands-On for Developers and Technical Professionals
Resource TypeBook
Resource RequirementPrescribed
AuthorBell J.
Year2015
Edition/VolumeN/A
PublisherWiley
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Amazon Web Services online training
Resource TypeBook
Resource RequirementRecommended
AuthorAmazon Web Services Educate
YearN/A
Edition/VolumeN/A
PublisherAmazon Web Services
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Online (Didasko), 2020, Study block 1, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 2 - 13
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 2 to week 13 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 10, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 41 - 52
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 41 to week 52 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 11, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 45 - 0
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 45 to week 0 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 12, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 49 - 0
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 49 to week 0 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 2, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 6 - 17
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 6 to week 17 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 3, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 10 - 21
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 10 to week 21 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 4, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 14 - 25
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 14 to week 25 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 5, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 19 - 30
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 19 to week 30 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 6, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 23 - 34
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 23 to week 34 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 7, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 27 - 38
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 27 to week 38 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 8, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 32 - 43
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 32 to week 43 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |
Online (Didasko), 2020, Study block 9, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorRabei Alhadad
Class requirements
Unscheduled Online ClassWeek: 36 - 47
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 36 to week 47 and delivered via online.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Online test (250-words equiv.)Multiple-choice and/or short answer questions test on fundamentals of machine learning in cloud environmentTimed assessment | N/A | N/A | No | 10 | SILO1 |
Written assignment on machine learning algorithm (1350-words equiv.)An assignment focused on identifying and applying the most appropriate learning algorithm to solve a real-world problem | N/A | N/A | No | 30 | SILO2, SILO3 |
Written assignment on other machine learning features (1600-words equiv.)A written practical scenario-based lab report on other machine learning features such as batch processing, R and Spring XD | N/A | N/A | No | 35 | SILO4, SILO5, SILO6 |
Online subject test (1000-words equiv.)Multiple-choice and/or short answer questions test that covers all the topicsTimed assessment | N/A | N/A | No | 25 | SILO4, SILO5 |