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If you are a beginner you will learn the latest standard — if you are a seasoned Ada user you can see what's new. At this date, there are more than pages in this book, which makes Ada Programming one of the largest programming wikibooks.

But still there is always room for improvement — do help us to expand Ada Programming. Even beginners will find areas to participate.

Lower Division

Ada is a programming language suitable for all development needs. It has built-in features that directly support structured , object-oriented , generic , distributed and concurrent programming. Ada puts unique emphasis on, and provides strong support for, good software engineering practices that scale well to very large software systems millions of lines of code, and very large development teams.

The following language features are particularly relevant in this respect:. Consequences of these qualities are superior reliability , reusability and maintainability.

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With support for object-oriented programming, Ada 95 may bring even more cost benefit, depending on how objects are used; although no serious study comparable to Zeigler's has been published. In addition to its support for good software engineering practices, which are applicable to general-purpose programming, Ada has powerful specialised features supporting low-level programming for real-time, safety-critical and embedded systems.

Such features include, among others, machine code insertions, address arithmetic, low-level access to memory, control over bitwise representation of data, bit manipulations, and a well-defined, statically provable concurrent computing model called the Ravenscar Profile. Other features include restrictions it is possible to restrict which language features are accepted in a program and features that help review and certify the object code generated by the compiler. Several vendors provide Ada compilers accompanied by minimal run-time kernels suitable for use in certified, life-critical applications.

It is also possible to write Ada programs which require no run-time kernel at all. It should come as no surprise that Ada is heavily used in the aerospace, defence, medical, railroad, and nuclear industries. Wikipedia has related information at ISO If you have a problem and no one else can help, you should read the RM albeit often a bit cryptic for non-language-lawyers.

For this reason, all complete not draft pages in Ada Programming contain links into the appropriate pages in the RM. The RM is a collective work under the control of Ada users. On this site, you can also see the list of "Ada Issues" raised by other people. Unlike other programming languages, Ada compilers are officially tested, and only those which pass this test are accepted, for military and commercial work.

This means that all Ada compilers behave almost the same, so you do not have to learn any dialects. But because the Ada standard allows the compiler writers to include some additions, you could learn a cool new feature only to find out that your favourite compiler does not support it Reading a document online is often quite cumbersome. These chapters look at the broader picture, introducing you to the main Ada features in a tutorial style. The following articles are Ada adaptations from articles of the Computer programming book. The texts of these articles are language neutral but the examples are all Ada.

Within the following chapters we look at foundations of Ada. These chapters may be used for reference of a particular keyword, delimiter, operator and so forth. Enrollment is limited to twenty students, with preference given to seniors.

Prerequisites: upper-division standing; department stamp required and consent of instructor. Introduction to research in computer science. Topics include defining a CS research problem, finding and reading technical papers, oral communication, technical writing, and independent learning.

A Random Walk Through Ada

Course participants apprentice with a CSE research group, and propose an original research project. Prerequisites: consent of the department chair. Teaching and tutorial assistance in a CSE course under the supervision of the instructor. Field Study in Computer Science and Engineering 4, 8, 12, or Directed study and research at laboratories away from the campus. Prerequisites: consent of the instructor and approval of the department. Computer science and engineering topics whose study involves reading and discussion by a small group of students under the supervision of a faculty member.

Prerequisites: consent of the instructor. Undergraduate research for completing an honors project under the supervision of a CSE faculty member. May be taken across multiple quarters. Students should enroll for a letter grade. May be taken for credit three times. Prerequisites: Admission to the CSE department honors program. Consent of the instructor. Computability review, including halting problem, decidable sets, r. Prerequisites: CSE or equivalent.

Recommended preparation: CSE Prerequisites: graduate standing. The basic techniques for the design and analysis of algorithms. Divide-and-conquer, dynamic programming, data structures, graph search, algebraic problems, randomized algorithms, lower bounds, probabilistic analysis, parallel algorithms. Modern advances in design and analysis of algorithms. Exact syllabus varies. Topics include approximation, randomized algorithms, probabilistic analysis, heuristics, online algorithms, competitive analysis, models of memory hierarchy, parallel algorithms, number-theoretic algorithms, cryptanalysis, computational geometry, computational biology, network algorithms, VLSI CAD algorithms.

Propositional logic, resolution, first-order logic, completeness and incompleteness theorems with computational viewpoint, finite model theory, descriptive complexity, logic programming, nonmonotonic reasoning, temporal logic. Applications to databases, automatic theorem proving, program verification, and distributed systems. Formerly CSE C Introduction to the algorithmic theory of point lattices aka algorithmic geometry of numbers , and some of its most important applications in cryptography and cryptanalysis.

Topics usually include: LLL basis reduction algorithm, cryptanalysis of broadcast RSA, hardness of approximating lattice problems. Private and public key cryptography, introduction to reduction based proofs of security, concrete security, block ciphers, pseudorandom functions and generators, symmetric encryption, asymmetric encryption, computational number theory, RSA and discrete log systems, message authentication, digital signatures, key distribution and key management. Zero-knowledge, secure computation, session-key distribution, protocols, electronic payment, one-way functions, trapdoor permutations, pseudorandom bit generators, hardcore bits.

Topics of special interest in algorithms, complexity, and logic to be presented by faculty and students under faculty direction. Topics vary from quarter to quarter. May be repeated for credit.

ADA Plus Data Structures: An Object-based Approach

Topics of special interest in cryptography to be presented by faculty and students under faculty direction. Formerly CSE A. General principles in modern software engineering. Both theoretical and practical topics are covered. Theoretical topics include proofs of correctness, programming language semantics, and theory of testing. Practical topics include structured programming, modularization techniques, design of languages for reliable programming, and software tools. Prerequisites: CSE , A, , or consent of instructor.


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Survey of testing and analysis methods.