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Upon completion of this course, students will be able to do the following.
In keeping with major industry trends, this course will emphasize reactive programming, incorporating asynchronous messaging and actor-programming concepts and constructs in class discussions and programming projects.
This course addresses the concepts and techniques of service-oriented computing. Services have become an important paradigm for information technology architectures and applications. The basic standards and existing literature on Web services have been focused on the lower-level, infrastructural matters. But as these become well-understood, emphasis has shifted to deeper foundational topics. In particular, in emerging practice, the classical Web services triangle of publish, find, and bind is being upgraded to sophisticated descriptions, discovery, and engagement. This upgrade requires the introduction of techniques for information and process semantics, specifically, conceptual modeling, ontologies, matchmaking, messaging, transactions, and processes.
Services require a strong open systems perspective. For example, services in general are not invoked but are engaged, meaning that the interactions one has with them are quite unlike method invocations and are better modeled as parts of extended conversations. Protocols, in this sense, replace programming interfaces as an abstraction for programming. Similarly, discovering the right service is more than simply looking up a directory with a method signature, and involves considerations of business contracts and application-level trust.
The course introduces leading standards (some in detail) that are widely employed in industry for software architecture and development, with or without services. These include RDF, OWL, UML Sequence Diagrams, IEEE FIPA, AMQP, and BPMN.
This course is self-contained, and gives the essential background for anyone planning to learn about and contribute to the principles and applications of services.
The following are the main topics of this course. The tentative schedule indicates the estimated number of class days for each topic.
I will assign +/- grades. There will be a fair amount of work—please plan to spend about eight hours (plus time in class) each week.
| Component | 750 campus | 750 EOL | 450 |
|---|---|---|---|
| Exam | 25 | 30 | 20 |
| Programming | 60 | 60 | 60 |
| Homework | 5 | 5 | 5 |
| Class Participation | 5 | 0 | 10 |
| Message Board Participation | 5 | 5 | 5 |
| Total | 100 | 100 | 100 |
The following programming assignments jointly add up to the programming component of the course grade in the above table. The weights of the assignments are based on their expected complexity. I may change the weights as the semester progresses.
| Assignment | Weight |
|---|---|
| Android and Play | 10 |
| Actors (Akka) getting started | 20 |
| Information sharing | 35 |
| Business processes and protocols) | 35 |
The course is mostly self-contained for computer science students. The main prerequisite is maturity in thinking about subtle concepts. Experience with conceptual modeling in databases or software helps; familiarity with database transactions is also valuable.
The following are the official prerequisites. They are helpful but not required any more.
From long experience, I have discovered that the material in CSC 226 is essential for my courses. Here is a (partial) list of topics that will be assumed: elementary set theory, relations, partial orders, functions, propositional logic, predicate logic, and concept of a theorem.
I recommend you brush up on these topics if you aren't comfortable with them. These topics are covered in CSC 226: Applied Discrete Mathematics. You may review Chapters 1 to 6 from the following book, which is sometimes used as the CSC 226 textbook: