MONASH INFORMATION TECHNOLOGY Structured Query Language (SQL) – Part 1 Anatomy of an SQL SELECT Statement SELECT stud_nbr, stu_fname, stu_lname FROM student WHERE stu_fname = ‘Maria’; clauses statement Predicate / search condition 2 2 What table(s) the data come from? SQL SELECT Statement – Usage What column/s to display SELECT stud_nbr, stu_fname, stu_lname FROM student […]
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Update, Delete and Transaction Management MODIFYING ROWS USING UPDATE AND DELETE 2 UPDATE ▪ Changes the value of existing data. ▪ For example, at the end of semester, change the mark and grade from null to the actual mark and grade. …… 3 • 4 TRANSACTIONS 5 Transactions ▪ Consider the following situation. Sam is
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MONASH INFORMATION TECHNOLOGY Creating & Populating the Database – Data Definition Language Workshop Q&A User requirements Relational model theories Oracle syntax Draw Conceptual conceptual ERD ERD Draw logical level Model Logical level Model Write database schema Database schema Business rules ERD notations Normalisation 2 2 SQL general syntax ▪ A single statement is ended with
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MONASH INFORMATION TECHNOLOGY Creating & Populating the Database – Data Definition Language User requirements Relational model theories Oracle syntax Draw Conceptual conceptual ERD ERD Draw logical level Model Logical level Model Write database schema Database schema Business rules ERD notations Normalisation 2 2 SQL general syntax ▪ A single statement is ended with SEMICOLON. ▪
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MONASH INFORMATION TECHNOLOGY Database Design II: Logical Modelling Reference Several of the examples and diagrams used this session have been taken from: Hoffer, J. A. , Prescott, M. B. & McFadden, F. R. “Modern Database Management” 2 2 Step 2 (and 3) of the Design Process ▪ Step 1 Conceptual Model (session 2) – Database
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MONASH INFORMATION TECHNOLOGY Database Design II: Logical Modelling Reference Several of the examples and diagrams used this session have been taken from: Hoffer, J. A. , Prescott, M. B. & McFadden, F. R. “Modern Database Management” 2 2 Step 2 (and 3) of the Design Process ▪ Step 1 Conceptual Model (session 2) – Database
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MONASH INFORMATION TECHNOLOGY Structured Query Language (SQL) – Part 1 Anatomy of an SQL SELECT Statement SELECT stud_nbr, stu_fname, stu_lname FROM student WHERE stu_fname = ‘Maria’; clauses statement Predicate / search condition 2 2 What table(s) the data come from? SQL SELECT Statement – Usage What column/s to display SELECT stud_nbr, stu_fname, stu_lname FROM student
CS代考计算机代写 SQL database MONASH Read More »
Update, Delete and Transaction Management MODIFYING ROWS USING UPDATE AND DELETE 2 UPDATE ▪ Changes the value of existing data. ▪ For example, at the end of semester, change the mark and grade from null to the actual mark and grade. UPDATE enrolment SET mark = 80, grade =’HD’ WHERE sno = 112233 and ……
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Color and Texture Histograms • A histogram of a gray-tone image is an array H[*] of bins, one for each gray tone. Copyright By PowCoder代写 加微信 powcoder • H[i] gives the count of how many pixels of an image have gray tone i. • P[i] (the normalized histogram) gives the percentage of pixels that have
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Ve492: Introduction to Artificial Intelligence PL Agents & First Order Logic Paul M-SJTU Joint Institute Slides adapted from AIMA, UM, CMU Copyright By PowCoder代写 加微信 powcoder Learning Objectives ❖ How to implement a logical agent with PL? ❖ What are the limitations of propositional logic? ❖ What is first-order logic? ❖ How to perform inference
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