The Open University
41% aligned
120/360 creditscompletedlow riskmedium roi
TM112 Introduction to computing and information technology 2
Extends foundational programming and computing knowledge from TM111. Covers further computing concepts, introductory software development, and problem solving.
30 credits≡ MIT 6.0002 ALIGNMENTStage 1: Foundation
Strategic Alignment
31%
Contribution toward Machine Learning Engineer career vector
Alignment31%
Track Navigation
Current Trackarrow_forwardMachine Learning Engineer
This module contributes 4% toward your target career vector.
Initiate Track Switchswap_horizMIT OpenCourseWare Equivalent
Introduction to Computational Thinking and Data Science
6.0002
Explicit continuation of 6.0001, covering computational thinking and data science foundations.
Skill Topography
Active Focus
Current Mastery
45% — in progress
MIT Alignment
26%
MIT 6.0002
Skills Built
foundational computing88%
programming progression82%
problem solving76%
preparation for Level 2 study70%
Intelligence Directives
Performance Ranking
Top 28%
of cohort for this module typeRisk Analysis
Low
based on prerequisite chainThis module contributes 4% toward your Machine Learning Engineer career vector.
System Directive
INITIALIZE M249 EXECUTION
Reasoning Protocol
Execute Directivearrow_forwardTM258 dependency failure detected. M249 mastery is required to mitigate 78% failure probability in TM258 algorithmic units. Concurrent execution with TM129 is recommended for optimal velocity and −2 month ETA adjustment.
Target Vector
psychology
Machine Learning Engineer
Primary career vector
Alignment41%
ETA Q4 20267 modules remaining
Vector Timeline
check
Stage 1: Foundation
Completed
Stage 2: Algorithmic Core
4 modules active
Stage 3: Advanced Systems
Locked
Impact Analysis
ETA−2 Months(on completion)
Career Vector+17% Total Alignment
Risk MitigationHigh
Active Focus
M249Target
TM258Blocker