The University of Chicago
Department of Computer Science

MPCS 51205 Course Syllabus

Topics in Software Engineering

Fall 2020
Online Only

Instructor:        Mark Shacklette
Office:               Online only (zoom)
Office Hours:    Monday 3:30 PM - 5:00 PM & by appointment

email:    mark@cs.uchicago.edu
              mshack@post.harvard.edu

 Teaching staff/Office Hours:

T.B.D.

TA Office Hours: See Piazza

SUBJECT	COURSE	TITLE	TIME	BUILDING
324	51205	Topics in Software Engineering	Monday, 5:00 PM	ONLINE-ZOOM

 

I. TEXT AND MATERIALS
 

Texts: Required (Programming Knowledge of Java or C++ or Python is assumed)

Microservice Patterns, Chris Richardson, Manning, 2019, ISBN: 9781617294549

Microservices in Action, Bruce & Pereira, Manning, 2019, ISBN: 9781617294457

Domain-Driven Design:  Tackling Complexity in the Heart of Software, Eric Evans, Addison-Wesley, 2004, ISBN:  0321125215

Texts: Highly Recommended Supporting Texts

Python:

Practical Django 2 and Channels 2, Marani, Apress, 2019, ISBN: 9781484240984

Java/Spring:

Spring 5.0 Microservices, Rajesh RV, Packt, 2019, ISBN: 9781787127685

MEAN/Node.js:

Getting MEAN with Mongo, Express, Angular, and Node, Second Edition, Holmes, Manning, 2019, ISBN: 9781617294754

Docker:

Docker Cookbook, Miell & Sayers, Manning, 2016, ISBN: 9781491919712

Docker in Practice, Sebastien Goasguen, O'Reilly, 2016, ISBN: 9781617292729

Docker Containers, Christoper Negus, Prentice Hall, 2016, ISBN: 9780134136561

Asynchronous Communication/AMQP:

RabbitMQ in Action, Videla & Williams, Manning, 2012, ISBN: 9781935182979

General:

Designing Data-Intensive Applications, Martin Kleppmann, O'Reilly, 2017, ISBN: 9781449373320

Texts: Recommended

UML Distilled, 3rd ed.,  Martin Fowler, Addison Wesley, 2003, ISBN: 0321193687

Applying UML and Patters:  An Introduction to Object-Oriented Analysis and Design and Iterative Development, 3rd ed., Craig Larman, Prentice Hall, 2005, ISBN:  0131489062

Disciplined Agile Delivery:  A Practitioner's Guide to Agile Software Delivery in the Enterprise, Ambler & Lines, IBM, 2012, ISBN:  0132810131

Design Patterns, Gamma, et. al., Addison Wesley, 1995, ISBN: 0201633612

Refactoring:  Improving the Design of Existing Code, 2nd Ed., Fowler, Addison Wesley, 2019, ISBN:  9780134757599

Object-Oriented Software Construction, Second Edition , Bertrand Meyer, Prentice Hall, 1997, ISBN: 0136291554

II. PREREQUISITE:

Solid familiarity with either Java or C++ will be assumed.   

III. COURSE DESCRIPTION

TOPICS (Each year we will choose some of these for deep dives):

•    Designing software to meet non-functional requirements for quality, security, reliability, scalability, extensibility, testability, supportability, fault tolerance and disaster recovery
•    Architecture Governance—what is it and how do you do it?
•    Microservice Architecture
•    What does “ideation to implementation” mean?
•    Continuous Integration and Continuous Delivery
•    RESTful APIs and testing
•    Software Development Life Cycle integrating Agile methodologies
•    Containerization

TECHNOLOGIES (Each year we will choose some of these for deep dives):

•    Java Development including Spring Framework and Spring Microservices
•    Event-based design
•    Microservices and RESTful APIs
•    SQL and NoSQL databases
•    Fast access and compute architectures including In-memory databases and data grids
•    Hybrid Transactional/Analytical Processing (HTAP) technologies such as Hadoop, Spark, Storm
•    Container-based software design using Docker, Apache Mesos, and Cloud Foundry.
•    Version control systems such as Subversion, GIThub, etc.
•    Continuous Integration and Delivery using JUnit and Bamboo
•    Collaborative tools such as Crucible

IV. LEARNING OBJECTIVES

This course will enable students to understand:

A.  Develop a full command of the UML and object-oriented design
B.  Microservice Architecture & Design
C.  Docker containerization and Microservice management
D.  Design and develop a non-trivial system using best practices in Microservice design and development
F.   Become familiar with formal design tools for contextual analysis and Microservice design

V. ACADEMIC INTEGRITY

Students are expected to have read and understood the University's policy on Academic Integrity. This policy is detailed in the Student Manual of University Policies and Regulations, available online at https://masters.cs.uchicago.edu/sites/masters/files/uploads/Academic%20Honesty%202016.pdf.  More guidelines can be found here:  https://masters.cs.uchicago.edu/sites/masters/files/uploads/MPCS%20Academic%20Honesty%20for%20Students.pdf.
 

VI. METHOD OF INSTRUCTION

Methods include lecture and homework assignments. All work will be submitted using Subversion, a version-control system that allows us to easily view files and folders that you create. You will not have to e-mail your files to the instructor, TAs, or grader, or even submit them online. Read this page in order to learn about how all of this will work.

Note for this online course:

By attending course sessions, students acknowledge that:

A. They will not: (i) record, share, or disseminate University of Chicago course sessions, videos, transcripts, audio, or chats; (ii) retain such materials after the end of the course; or (iii) use such materials for any purpose other than in connection with participation in the course.
B. They will not share links to University of Chicago course sessions with any persons not authorized to be in the course session. Sharing course materials with persons authorized to be in the relevant course is permitted. Syllabi, handouts, slides, and other documents may be shared at the discretion of the instructor.
C. Course recordings, content, and materials may be covered by copyrights held by the University, the instructor, or third parties. Any unauthorized use of such recordings or course materials may violate such copyrights.
D. Any violation of this policy will be referred to the Area Dean of Students.

 

VII. OTHER COURSE INFORMATION

Attendance:

No formal attendance taken. Absences will affect your team and likely impact your peer evaluation.  There may be information presented in class that is not in the texts. You will find the lectures helpful in doing the laboratory exercises.

Make-up Work:

Students are expected to read the assigned texts before class in order to be able to full participate in the discussions and course activities.
 

VIII. METHOD OF EVALUATING STUDENT PROGRESS

Assigned work evaluated as follows:

Grading scale (for all assignments excluding Peer Evaluations.  NOTE there is a separate scale for Peer Grading located:  here):

95-100:     A
90-94:       A-
87.6-89:    B+
83-87.5:    B
80-82.9:    B-
76-79:       C+

Iteration Deliverables will be graded on a 4-point basis.  Deliverable due dates are noted on the syllabus below.  All labs and homework are due by 5:00 pm on the due date.

All assignments are due as specified on this syllabus and lab and iteration deliverables.  This includes the final project deliverables.  Each team will be evaluated on the basis of the presentation of iteration deliverables and the final deliverable.  Any and all lateness will suffer penalties. 

The penalty for late labs will be .50 points off for each 24-hour period the lab is late, through 6 days late (6*.50 = 3.0).  After six days delay, the lab will no longer be accepted for grading and will receive a 0.  Note:  Any penalty is taken off after the grade has been determined.  For example, if you make a grade of 2.5/3.0 for a lab, but you turned it in 2 days late, you would receive a grade of:  2.5 - (.50 * 2) = 1.5.

The penalty for late Iterations will be 1.0 point off for each 24-hour period the lab is late, through 4 days late (4*1.0 = 4.0).  After four days delay, the iteration deliverable will no longer be accepted for grading and will receive a 0.  Note:  As with labs, any penalty is taken off after the grade has been determined. 

NB: The instructor reserves the right to alter the course contents, dates, times or percentage of credit based on time allowed and class progress through the course material. The instructor also reserves the right to curve grades if he deems it in the best interest of the majority of students.

IX. COURSE SCHEDULE

The course project will be due for all teams on December 7, 2020 for all students.  The requirements for the course project are described here.

The following abbreviations reference the following works:

Abbreviation	Text
MP	Microservice Patterns, Richardson
DIP	Docker in Practice, Miell & Sayers
DC	Docker Containers, Negus
MIA	Microservices in Action, Bruce & Pereira
Evans	Domain-Driven Design, Evans

Articles*:

*Articles starred may be found on the cluster under my pub directory (~mark/pub/51205/required.reading).  All numbers below refer to chapters in texts, not pages, unless otherwise noted (as "pp. 1-99", for example).

Class/Date	Lecture Topics	Required Reading Schedule	Activities and  Deliverables
Class 1 October 5	Course Introduction & Syllabus Review Introduction to Course Project & Peer Grading Introduction (Client-Server Background & Microservices Concepts)	Evans1-4 MP 1-2 MIA 1 Cavage Hodges	Team Formation Iteration
Class 2 October 12	Domain Driven Design Fundamentals Designing Microservices Microservices Continued: Architectural Considerations and the API Gateway	Evans 5-6, 14-15 MP: 3 MIA 2-3 Evans2 Lamport2	Iteration I:  Initial Requirements Landscape
Class 3 October 19	RESTful APIs:   API First Introduction and Testing with Postman Introduction to Docker & Containers	Evans 7 MP 4 MIA 4-5 Maccoby Andreessen Fielding	Lab 1 - Docker Intro In-class Team Reviews with TAs:  Teams 1, 2 & 3
Class 4 October 26	Technology Foundations 1:  Synchronous Communication:  Remote Procedure Calls (RMI/gRPC)	IP: 1-3 DC: 1-6 Evans: 8-13 MP 5-6 MIA 6-7 DIP: 5 Fallacies Sheehy Metz	Iteration II:  High Level Architecture & Team Update Lab 2 - Docker RPC In-class Team Reviews with TAs:  Teams 4, 5 & 6
Class 5 November 2	Technology Foundations 2:  Asynchronous Communication:  AMQP & RabbitMQ	DIP: 4 DC: 7-10 Avram	Iteration III:  Team Planning & Team Update Lab 3 - Dockerized RabbitMQ
Class 6 November 9	NoSQL Data Storage with MongoDB	RIA 1-4, 8-10 Mickens1	Lab 4 - Dockerized MongoDB
Class 7 November 16	SQL Data Storage with PostgresSQL	MIA 8-10 Evans: 16-17 Mei	Lab 5 - Dockerized PostgresSQL
NO CLASS November 23 Thanksgiving Break
Class 8 November 30	Preliminary Team Project Reviews (faculty only).  See schedule for time slots and rooms. Instructions for Team Meetings with TAs		Iteration IV:  Team Planning & Team Update
Class 10 December 7	Final Team Project Presentations (presentations to entire class) Instructions for Final Team Presentations		Team Final Project Presentations (click here for instructions)

Final Presentation Schedule

EVERYONE:  Sign up on Piazza here!