Supply Chain Management
Gain expertise in the growing field of Supply Chain Management through an innovative online programme consisting of five courses and a final capstone exam. The MicroMasters® Programme in Supply Chain from MITx is an advanced, professional, graduate-level foundation in Supply Chain Management. It represents the equivalent of 1 semester's worth of coursework at MIT.
The MicroMasters® Credential will showcase your understanding of supply chain analytics, design, technology, dynamics and end-to-end supply chain management. Build on the credential and take advantage of a great opportunity to be accepted into the #1 ranked supply chain management Masters Degree programme for a fraction of the cost.
The Supply Chain Management MicroMasters® Programme from the prestigious Thunderbird School of Global Management includes the following courses:
Supply Chain Analytics
Master and apply the core methodologies used in supply chain analysis and modelling, including statistics, regression, optimisation and probability – part of the MITx Supply Chain Management MicroMasters® Credential.
Supply Chain Fundamentals
Learn fundamental concepts for logistics and supply chain management from both analytical and practical perspectives – part of the MITx MicroMasters® Credential in Supply Chain Management.
Supply Chain Design
Learn how to design and optimise the physical, financial, and information flows of a supply chain to enhance business performance – part of the MITx MicroMasters® Credential in Supply Chain Management.
Supply Chain Dynamics
Learn how to manage and harness the dynamics and interactions between firms and entities within a supply chain – part of the MITx Supply Chain Management MicroMasters® Credential.
Supply Chain Technology and Systems
Learn how technology is used in supply chain systems from fundamental concepts to innovative applications – part of the MITx Supply Chain Management MicroMasters® Credential.
Supply Chain Comprehensive Exam
Take the Comprehensive Exam in Supply Chain Management to earn the MITx MicroMasters® credential.
Programme Includes:
- To apply core methodologies (probability, statistics, optimisation) used in supply chain modelling and analysis.
- To understand and use fundamental models to make trade-offs between forecasting, inventory, and transportation.
- To design supply chain networks as well as financial and information flows.
- To understand how supply chains act as systems and interact.
- How technology is used within supply chains; from fundamentals to packaged software systems. End to end supply chain management.
No Need to Travel
27 March 2019
R15 591,00
13 Weeks
8-10 hrs effort per week/module
- Supervised learning techniques for regression and classification
- Unsupervised learning techniques for data modelling and analysis
- Probabilistic versus non-probabilistic viewpoints
- Optimisation and inference algorithms for model learning
Course Syllabus
Week 1: Maximum likelihood estimation, linear regression, least squares
Week 2: Ridge regression, bias-variance, Bayes rule, maximum a posteriori inference
Week 2: Ridge regression, bias-variance, Bayes rule, maximum a posteriori inference
Week 3: Bayesian linear regression, sparsity, subset selection for linear regression
Week 4: Nearest neighbour classification, Bayes classifiers, linear classifiers, perceptron
Week 5: Logistic regression, Laplace approximation, kernel methods, Gaussian processes
Week 6: Maximum margin, support vector machines, trees, random forests, boosting
Week 7: Clustering, k-means, EM algorithm, missing data
Week 8: Mixtures of Gaussians, matrix factorisation
Week 9: Non-negative matrix factorisation, latent factor models, PCA and variations
Week 10: Markov models, hidden Markov models
Week 11: Continuous state-space models, association analysis
Week 12: Model selection, next steps