UMUC-EUROPE GRADUATE PROGRAMS
BOWIE STATE UNIVERSITY

INSS620 Syllabus

Course Title Software Structures
Term TERM 3, 2006/2007
Education Center HEIDELBERG-GRAD
Faculty Member John Keohane - jkeohane@faculty.ed.umuc.edu

Faculty Contact Information:

jkeohane@faculty.ed.umuc.edu

Consultation:

The instructor will be available for consultation after each class.

Required Texts and Readings:

Sebesta, Robert W. (2006).  Concepts of Programming Languages, (7th ed.).  Boston:  Pearson/Addison Wesley. (ISBN 0-321-33025-0)

Supplementary Readings:

The standard for papers in the graduate program is the APA style. All participants in this course and all graduate INSS, MGMT, PUAD, and ECON courses should have a copy of the style guide:


American Psychological Association. (2001). Publication Manual of the American Psychological Association, 5th Edition. Washington DC: Author.

All graduate students should be prepared to utilize the UMUC online library at http://www.ed.umuc.edu/library/.  The library contains a large number of full text academic journals that are free of charge and immediately available.  The library homepage also contains a number of links related to improving students' research and writing skills.

Recommended Journals:

Publications of the various professional societies (such as ACM -- the Association for Computing Machinery, the IEEE Computing Society, and the various management professional societies) are strongly recommended.  In addition, there are many trade journals (such as eWEEK) that MIS professionals should become familiar with, many of these being published both weekly and on-line.

Course Description:

3 semester hours credit.  (Formerly INSS 520.)  Prerequisites: Undergraduate programming and college algebra, or permission of the Program Director. Recommended prerequisite: INSS 510. Provides an in-depth look at software from a design and implementation perspective. Language semantics and syntax issues are explored. Specification and implementation of data structures are examined. Characteristics of non-procedural, heuristic and object-oriented languages are discussed. Current developments in software engineering methodologies are reviewed as well as research into the improvement of those practices. Software project management concepts and software quality issues are also addressed. Students will be required to complete programming projects.

Course Goals:

Upon completion of the course, participants should be conversant in:
1. Major attributes of several programming languages
2. Tradeoffs in programming language design and usage
3. Data types and abstract data types
4. Basic data structures
5. Structured programming
6. How a programming language can support good software engineering
7. Computational complexity and its relationship to software quality
8. The principal programming paradigms: imperative/procedural, object-oriented, functional/applicative, logic, and concurrent programming
9. Current issues in programming languages

Course Objectives:

At the conclusion of this course the student will be able to:
1. Describe and apply the fundamental criteria needed to evaluate and compare computer programming languages
2. Demonstrate understanding of the underlying concepts of programming languages such as: syntax, semantics, binding, type checking, scope, data types, expressions, control structures, and subprograms
3. Describe the major programming paradigms; recognize differences between imperative, object-oriented, functional and logic programming languages
4. Compare and contrast the different capabilities of programming languages and evaluate languages for various programming problems
5. Characterize a given program or algorithm in terms of its computational complexity and efficiency
6. Compare and contrast different implementations of standard data structures such as lists, stacks, and queues
7. Describe concepts of object-oriented programming such as encapsulation,   inheritance, dynamic binding, and polymorphism
8. Apply understanding of software engineering practices to software quality assurance
9. Apply programming concepts in making software management decisions
10. Research and discuss current issues in programming languages

Grading Information:

Numeric grades will be based upon the following critera:
Programming assignments 25%
Exam 1 (Feb 3) 25%
Exam 2 (Feb 17) 25%
Exam 3 (Mar 4) 25%

Grades will be assigned according to the following scale:
A [90, 100]
B [80, 90)
C [70, 80)
F(a) below 70

Please note that Bowie State University does not use "D" for graduate students. The grade F is used to designate academic failure. F(n) is used to designate failure for non-completion.  Grades of Incomplete or Withdrawal are governed by UMUC-Europe policies. For further details, please refer to the UMUC-Europe Graduate Catalog, available in your local Education Center or online at http://www.ed.umuc.edu/general_info/publications/catalogs/.

Course Requirements:

Graduate school at the masters level focuses on helping students obtain the education needed for success as professionals in their chosen fields. Thus, UMUC-Europe Graduate Programs and Bowie State University share the common goals of promoting excellence in academic scholarship through thoughtful inquiry and the skillful application of knowledge and theory for the betterment of society.

Description of Course Requirements:

Participate in classroom discussions: You are expected to come to class prepared to engage in all discussions in a professional and informed manner. Usually this requires two to three hours for every hour of a face-to-face class and approximately ten hours of preparation per week for a DE class.


Complete graduate level programming assignments:  You are to submit three programming assignments, one of which will be assigned on each of the first three weekend meetings and due on the following weekend meeting. You are expected to complete the programming assigmnents on your own. No group programs will be accepted. The instructor will be available by Email for help on the programming assignments.


Complete three written examinations: The examination process in this class will assist you in developing the writing and critical thinking skills necessary for successfully passing the comprehensive exam required of all graduate students. The examination questions used for this course will either be taken directly from past comprehensive exams or written as though to be included on a comprehensive exam.

Course Schedule:

All chapter references are to the course text.

Weekend 1 (Jan 20/21)

Saturday

  • Introductions
  • Review of Syllabus
  • Clarification of goals, objectives and requirements
  • Orientation to the subject
  • Language Evaluation Criteria
  • Language Categories
  • Implementation methods
  • A brief history of the Major Programming Languages
  • Formal methods for describing syntax
  • Backus-Naur Form, parse trees

    Sebesta Chapters 1, 2 and 3

Sunday

  • Lexical analysis

  • Parsing
  • Variables
  • The concept of binding
  • Strong typing
  • Scope and lifetime

    Sebesta Chapters 4 and 5


Weekend 2 (Feb 3/4)

Saturday
  • Exam 1
  • Primitive data types
  • Strings
  • Array types
  • Records and Unions
  • Pointers and Reference types


    Sebesta Chapter 6


Sunday

  • Arithmetic Expressions
  • Type conversions
  • Relational and Boolean expressions
  • Assignment statements
  • Selection statements
  • Iterative statements
  • Unconditional branching


    Sebesta Chapters 7 and 8


Weekend 3 (Feb 17/18)

Saturday

  • Exam 2
  • Fundamentals of subprograms
  • Parameter Passing methods
  • Functions


    Sebesta Chapter 9


Sunday

  • The implementation of subprograms
  • Calls and returns
  • Nested subprograms
  • Data Abstraction
  • Language examples
  • Encapsulation constructs


    Sebesta Chapters 10 and 11


Weekend 4 (Mar 3/4)

Saturday

  • Design issues for Object-Oriented Languages
  • Support for OOP in Smalltalk, C++, Java, C# and other languages
  • Introduction to subprogram-level concurrency
  • Monitors
  • Message Passing
  • Threads in Java and C#

    Sebesta Chapters 12 and 13


Sunday

  • What is exception handling
  • Exception handling in Ada
  • Exception handling in C++ and Java
  • What is event handling
  • Event handling in Java
  • Exam 3

    Sebesta Chapter 14

Academic Policies:

The University has a license agreement with Turnitin.com, a service that helps prevent plagiarism from internet resources. I may be using this service in this class by either requiring students to submit their papers electronically to Turnitin.com or by submitting questionable text on behalf of a student. If you or I submit part or all of your paper, it will be stored by Turnitin.com in their database throughout the term of the University's contract with Turnitin.com. If you object to this temporary storage of your paper, you must let me know no later than two weeks after the start of this class. Please Note: If you object to the storage of your paper on Turnitin.com, I may utilize other services to check your work for plagiarism

The official university policy on Plagiarism and Academic Dishonesty can be found at http://www.umuc.edu/policy/aa15025.shtml. Section I.C. states: "Faculty may determine if the resubmission of course work from previous classes (whether or not taken at UMUC), partially or in its entirety, is acceptable when assigning a grade on that piece of course work. Faculty must provide this information in their written syllabi. If the resubmission of course work is deemed to be unacceptable, a charge may not be brought under this Policy and will be handled as indicated in the written syllabi."

Please refer to Description of Course Requirements for specific information on how resubmissions will be treated in this course.

Students with disabilities should contact the appropriate support office at UMUC-Europe. 

Jan Keller, Director of Student Services

UMUC-Europe, Heidelberg

Phone:  +49-6221-378299

Email:  edstudent_svc@ed.umuc.edu

Mailing Address:  Unit 29216, APO AE 09102 OR Im Bosseldorn 30, D-69126 Heidelberg, Germany

Please refer to the UMUC-Europe Graduate Catalog for information on the following:

Academic Integrity
Course Load
Exception to Policy
Grade Appeal Process
Make-up Examinations
Nondiscrimination
Code of Civility

Hard copies of the catalog are available at your local Education Center.

Faculty Bio:

John Keohane earned his BA in Mathematics from Bowdoin College and his MS and PhD in Computer Science from SUNY at Stony Brook. He has been teaching on the college/university level for more than 29 years, 12 of which have been with the European Division of UMUC, where he holds the rank of full professor.


Last updated by John Keohane: December 8, 2006, 4:01 pm
Find this syllabus linked from the schedule at: http://www.ed.umuc.edu/schedule