01 INTRODUCTION TO COURSE
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1 DATA STRUCTURES AND ALGORITHMS 01 INTRODUCTION TO COURSE ALGORITHMS & DATA STRUCTURES IMRAN IHSAN ASSISTANT PROFESSOR, AIR UNIVERSITY, ISLAMABAD LECTURES ADAPTED FROM: DANIEL KANE, NEIL RHODES DEPARTMENT OF CS & ENGINEERING UNIVERSITY OF CALIFORNIA, SAN DIEGO
2 AUTOMATE THIS 2 MILLION SPEECH PATTERNS IDENTIFY A CALLER'S PERSONALITY STYLE DIRECT THE CALLER WITH A COMPATIBLE CUSTOMER SUPPORT REPRESENTATIVE 2
3 9 ALGORITHMS THAT CHANGED THE FUTURE 1. Search Engine Indexing Finding Needles in the World s Biggest Haystack 2. PageRank The Technology That Launched Google 3. Public-key Cryptography - Sending Secrets on a Postcard 4. Error-Correcting Codes - Mistakes That Fix Themselves 5. Pattern recognition - Learning from Experience 6. Data Compression - Something for Nothing 7. Database - The Quest for Consistency 8. Digital Signatures - Who Really Wrote This Software? 3
4 GOOGLE MAPS 4
5 ALGORITHMS An algorithm is a set of instructions that state how a task is to be performed. A Knitting Pattern Setting up a new XBOX Console Recipe for Cooking Pizza Directions for Walking to Cafeteria Building Operations to turn an MP3 File in a sequence of sounds produced by an MP3 Player. An algorithm is an ordered, deterministic, executable, terminating set of instructions. 5
6 ALGORITHMS ON COMPUTERS The abstract specification of the processes that are running on all of our computers, phones, games consoles, databases, autopilots, banking systems, autonomous vehicles, networks,... Algorithms process information maintained in data structures, and produce actions and results. 6
7 ALGORITHM We'll see a more efficient version of this algorithm later this semester which relies on an efficient data structure underneath. 7
8 DATA STRUCTURES The frameworks we use to maintain the data that are processed by the algorithms. Inside data structures, we use algorithms to manipulate the data efficiently. 8
9 ABSTRACT DATA TYPES higher level patterns for organizing data structures patterns for reading data from the structure, for removing data, and for adding new data. 9
10 ABSTRACT DATA TYPES think of this sketch of a 'graph' as an abstract data type 10
11 DATA STRUCTURE 2D matrix implementing the graph 11
12 ALGORITHMS: THREE QUESTIONS Does it do what it is supposed to do? How long will it take? How much space does it need to run? 12
13 WHAT IS THE POINT? 1. Your programs must be correct not just bug-free code, but implementing an algorithm that does what it is supposed to do. 2. Your programs should be efficient programs that take too long to run are useless understand the implication of choosing different library functions understand the implication of choosing different design patterns what may be easier for you to code may be much worse to run 1. Faster machines means users expect to solve bigger problems 2. Some problems have known limits on their efficiency Yawn machines are getting faster every year who cares about efficiency? 13
14 WHAT IS THE POINT? 3. You must be able to advertise your code to other programmers in terms they will understand state what (agreed) abstract data types you are using also state what data structures and algorithms you have used to implement them 4. You should not subvert the design pattern understand the specified ways to interact with the data don't interact with it in other ways abandons correctness and efficiency don't allow other programmers to subvert the design 14
15 PROGRAMMING, CODING This ain't chemistry - this is art. Coding is art. And the shit I code is the bomb, so don't be telling me. The shit you code is shit. You and I will not make garbage. We will produce a chemically pure and stable product that performs as advertised. No adulterants. No baby formula. No chili powder. 15
16 ... AND A FOURTH QUESTION How do we implement that? We are going to use C++ or JAVA or Python. understand the library functions learn how to implement structures and algorithms efficiently The module is a mix of theory and practice. 16
17 COURSE OBJECTIVE Gain expertise in the use and implementation of simple data structures Their application in the creation of efficient software Apply data structures and algorithms appropriately in formulating solutions of meaningful computational problems Implement computer applications employing simple data structures in a modern programming language Implement simple data structures using array-based techniques and linked lists. 17
18 WEB RESOURCES IMRANIHSAN.COM 18
19 HUMAN COMPUTER INTERACTION INTRODUCTION TO UI DESIGN Key Features Class Participation Homework Assignment Quiz Exam Lab Assignment 19
20 HUMAN COMPUTER INTERACTION GRADING SCHEME 20% Assignments 10% Quiz 50% Passing Marks Marks Distribution 10% Lab Grading 80% to get A 20% Midterm No D Grade 40% Final 20
21 INSTRUCTOR IMRAN IHSAN Consultation Drop in whenever my door is open and I am on my seat. Direct general questions Those that other students may also be wondering about and That Google can t answer 21
22 PROGRAMMING FOUNDATIONS WE ASSUME THAT YOU KNOW ALMOST EVERYTHING IN Programming C++: Datatypes, Conditions, Loops, Arrays, Multi Dimension Arrays, Pointers, Functions, Pass By Value, Pass By Reference Object Oriented Programming: Data Abstraction, Classes, ADT, Operator Overloading, Inheritance, Polymorphism, Virtual Functions, This, New, Delete, Uses-A, Knows-A, Templates OOP++ STL, Design Pattern, Model-View-Controller, Factory Method, Iterator Design, Composite Design, 22
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