| Week |
Date |
Lecture |
Section |
Topic |
Assignment |
| 1 |
15/01/2020 |
1 |
Introduction |
Course
Objectives.
Review
|
|
| |
17/01/2020 |
2 |
Distributed Network
Inference: Cloud Computing |
Cloud
Computing; MapReduce Framework |
|
| 2 |
22/01/2020 |
3 |
|
MapReduce
algorithms |
MapReduce
questions
|
|
24/01/2020 |
4 |
|
Distributed
Graph Algorithms I |
|
3
|
29/01/2020 |
5 |
|
Distributed
Graph Algorithms II |
MapReduce
exam-style questions
|
|
31/01/2020 |
6 |
|
Distributed
Graph Algorithms III |
MapReduce
solutions
|
4
|
05/02/2020 |
7 |
|
Other
Distributed Algorithms |
Mapreduce-DB-question
MapReduce-NaiveBayes
NaiveBayes-solution
|
|
07/02/2020 |
8 |
Distributed
Learning |
Deep learning
computational tools |
|
5
|
12/02/2020 |
9 |
|
TensorFlow |
TensorFlow-question
TensorFlow-Solution
|
|
14/02/2020 |
10 |
|
Caffe |
Extra-Questions
Extra-Questions-Solutions
|
6
|
19/02/2020 |
11 |
|
Computation
graphs and hardware implementation |
Implementing
TensorFlow Models
|
|
21/02/2020 |
12 |
Network
Performance Analysis |
Probability
Review: Continuous |
Practice
Mid-Term
Practice
Mid-Term solutions
|
7
|
|
|
|
|
|
|
|
|
EXAM
WEEK |
|
|
8
|
04/03/2020 |
13 |
|
Queueing
Theory: M/M/1 |
|
|
06/03/2020 |
14 |
|
M/M/k models
Queueing Networks |
|
9
|
11/03/2020 |
15 |
Network
Performance Analysis (cont.) |
Priority
Queues |
|
|
13/03/2020 |
16 |
|
Performance
Analysis Problem-Solving |
|
10
|
18/03/2020 |
17 |
Network
Reliability |
|
|
|
20/03/2020 |
18 |
Reliability
Block Diagrams |
|
11
|
25/03/2020 |
19 |
Markov
Models |
|
| |
27/03/2020 |
20 |
Performance
and Reliability Modeling |
Integrated
Modeling |
|
| 12 |
01/04/2020 |
21 |
|
Performance
Networks |
|
| |
03/04/2020 |
22 |
|
Integrated
Modeling Problem-Solving |
|
