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Bài giảng môn học Hệ cơ sở dữ liệu: Chương 3 - Nguyễn Như Hoa

Bài giảng Hệ cơ sở dữ liệu - Chương 3: Mô hình quan hệ cung cấp cho người học các kiến thức: Mô hình quan hệ (Relational model), thiết kế CSDL quan hệ bằng cách chuyển đổi từ mô hình ER sang mô hình quan hệ. Mời các bạn cùng tham khảo.

8/29/2020 12:57:44 AM +00:00

Bài giảng môn học Hệ cơ sở dữ liệu: Chương 2 - Nguyễn Như Hoa (Phần 2)

Phần tiếp theo bài giảng Hệ cơ sở dữ liệu - Chương 2cung cấp cho người học các kiến thức về Mô hình thực thể - Kết hợp mở rộng bao gồm: Superclass và subclass, mối quan hệ giữa superclass và subclass, thừa kế thuộc tính và mối quan hệ,... Mời các bạn cùng tham khảo nội dung chi tiết.

8/29/2020 12:57:37 AM +00:00

Bài giảng môn học Hệ cơ sở dữ liệu: Chương 2 - Nguyễn Như Hoa (ver 2)

Bài giảng Hệ cơ sở dữ liệu - Chương 2: Mô hình thực thể - kết hợp phần bài tập cung cấp cho người đọc các bài tập và hướng dẫn giải để người học ôn tập và củng cố lại các kiến thức đã học. mời các bạn cùng tham khảo.

8/29/2020 12:57:31 AM +00:00

Bài giảng môn học Hệ cơ sở dữ liệu: Chương 2 - Nguyễn Như Hoa (Phần bài tập 1)

Bài giảng Hệ cơ sở dữ liệu - Chương 2: Mô hình thực thể - kết hợp cung cấp cho người học các kiến thức: Các khái niệm trong Mô hình ER, các bước thiết kế Mô hình ER, các ví dụ minh họa. Mời các bạn cùng tham khảo nội dung chi tiết.

8/29/2020 12:57:24 AM +00:00

Bài giảng môn học Hệ cơ sở dữ liệu: Chương 1 - Nguyễn Như Hoa

Bài giảng Hệ cơ sở dữ liệu - Chương 1: Tổng quan về CSDL và Hệ quản trị CSDL cung cấp cho người học các kiến thức: Khái niệm về Cơ sở dữ liệu (DB) và Hệ quản trị cơ sở dữ liệu (DBMS), các mô hình dữ liệu, các giai đoạn thiết kế Cơ sở dữ liệu. Mời các bạn cùng tham khảo.

8/29/2020 12:57:17 AM +00:00

Lecture note Data visualization - Chapter 32

This chapter presents the following content: Matlab environment, built-in matlab functions, plotting, user-defined functions, numerical techniques, matlab environment, numerical techniques,...

8/28/2020 7:35:28 PM +00:00

Lecture note Data visualization - Chapter 31

In this lecture we learned about: Definition of data visualization, terms related to data visualization, data mining, data recovery, data redundancy, data acquisition, data validation, data integrity, data verification, data aggregation.

8/28/2020 7:35:22 PM +00:00

Lecture note Data visualization - Chapter 30

This chapter presents the following content: Cubic spline interpolation, multidimensional interpolation, curve fitting, linear regression, polynomial regression, the polyval function, the interactive fitting tools, basic curve fitting, curve fitting toolbox, numerical integration.

8/28/2020 7:35:15 PM +00:00

Lecture note Data visualization - Chapter 29

The main contents of the chapter consist of the following: The relational algebra, unary relational operations, relational algebra operations from set theory, binary relational operations, ER-to-Relational mapping algorithm, mapping EER model constructs to relations.

8/28/2020 7:35:08 PM +00:00

Lecture note Data visualization - Chapter 28

The main contents of the chapter consist of the following: Functions with no input or no output, determining the number of input and output arguments, local variables, global variables, creating toolbox of functions, anonymous functions and function handles, function functions, subfunctions.

8/28/2020 7:35:02 PM +00:00

Lecture note Data visualization - Chapter 27

The main contents of the chapter consist of the following: Function M-files, syntax of function M-Files, comments, multiple input and output functions, relational model concepts, relational model constraints and relational database schemas, update operations and dealing with constraint violations.

8/28/2020 7:34:55 PM +00:00

Lecture note Data visualization - Chapter 26

This chapter presents the following content: Basic definitions, example of a database, typical DBMS functionality, main characteristics of the database approach, database users, workers behind the scene,...

8/28/2020 7:34:49 PM +00:00

Lecture note Data visualization - Chapter 25

In this lecture we learned about: Function plots, three dimensional plotting, surface plotting, mesh plot, surf plot, contour plot, editing in plot in graphical window, making plot from workspace window.

8/28/2020 7:34:43 PM +00:00

Lecture note Data visualization - Chapter 24

The main contents of the chapter consist of the following: Plots with more than one line, plots of complex arrays, line, color and mark style, axis scaling and annotating plots, subplots, polar plots, logarithmic plots, bar graphs and pie charts, histograms, X-Y graphs with two Y-axes.

8/28/2020 7:34:36 PM +00:00

Lecture note Data visualization - Chapter 23

This chapter presents the following content: Chapter 5 “plotting”, two dimensional plots, simple x-y plots, titles, labels and grids, multiple plots, plots with more than one line, plots of complex arrays, line, color and mark style, axis scaling and annotating plots,...

8/28/2020 7:34:27 PM +00:00

Lecture note Data visualization - Chapter 22

In this lecture we learned about: Sum and product functions, matrix size function, variance and standard deviation, random numbers, complex numbers, computational limitations, general mathematical functions, rounding functions, functions used in discrete mathematics, trigonometric functions.

8/28/2020 7:34:20 PM +00:00

Lecture note Data visualization - Chapter 21

The main contents of the chapter consist of the following: Script m-file, editor/debugger window, cell mode, using built-in functions, using the HELP feature , window HELP screen, elementary math functions, rounding functions, discrete mathematics, trigonometric function, data analysis function.

8/28/2020 7:34:13 PM +00:00

Lecture note Data visualization - Chapter 20

This chapter presents the following content: Graphic window, edit window, start button, matrices in matlab, scalar operations, order of operations, array operations, matrix addition, matrix multiplication, number display (scientific notation), script m-files.

8/28/2020 7:34:06 PM +00:00

Lecture note Data visualization - Chapter 19

In this lecture we learned about: Checking an algorithm analysis, limitations of big-oh analysis, matlab environment, command window, command history, workspace window, current folder window, document window.

8/28/2020 7:34:00 PM +00:00

Lecture note Data visualization - Chapter 18

This chapter presents the following content: Running time of function, running time of cubic function, running time of quadratic function, running time of linear function, running time of logarithmic function, logarithm, static searching problem,...

8/28/2020 7:33:53 PM +00:00

Lecture note Data visualization - Chapter 17

The main contents of the chapter consist of the following: Remaining part of maximum contiguous subsequence sum problem, general big-oh rule, running time of algorithm.

8/28/2020 7:33:46 PM +00:00

Lecture note Data visualization - Chapter 16

This chapter presents the following content: Introduction to algorithm analysis, different functions, function’s growth rate, three problems related to algorithm running time, maximum contiguous subsequence sum problem.

8/28/2020 7:33:40 PM +00:00

Lecture note Data visualization - Chapter 15

In this lecture we learned about: Overriding a method, static and dynamic binding, virtual function, types of member function, abstract method/abstract class, constructor and destructor: virtual or non-virtual.

8/28/2020 7:33:33 PM +00:00

Lecture note Data visualization - Chapter 14

This chapter presents the following content: Introduction to inheritance, inheritance in C++, IS-A relationship, polymorphism in inheritance, classes in inheritance, visibility rules, constructor and base class, adding members.

8/28/2020 7:33:25 PM +00:00

Lecture note Data visualization - Chapter 13

In this lecture we learned about: Separation of interface and implementation, objects are declared as primitive type, the destructor operator, copy constructor, default constructor.

8/28/2020 7:33:18 PM +00:00

Lecture note Data visualization - Chapter 12

In this chapter, the following content will be discussed: Object oriented programming, inheritance mechanism, polymorphism mechanism, basic class syntax, class members, default parameters, initializer list, the explicit constructor, constant member function.

8/28/2020 7:33:12 PM +00:00

Lecture note Data visualization - Chapter 11

This chapter presents the following content: Stale pointers and double delete, reference variables, reference type vs pointer type, structures, pointers to structures, exogenous vs indigenous data, shallow vs deep copying, linked lists, common errors.

8/28/2020 7:33:05 PM +00:00

Lecture note Data visualization - Chapter 10

In this chapter, the following content will be discussed: Pointer syntax in C++, null pointers, dynamic memory allocation, the new operator, garbage collection and delete operator.

8/28/2020 7:32:59 PM +00:00

Lecture note Data visualization - Chapter 9

This chapter presents the following content: Resizing the vector, push_back function, parameters passing mechanism, primitive arrays of constants, multidimensional arrays, the standard library string type.

8/28/2020 7:32:53 PM +00:00

Lecture note Data visualization - Chapter 8

This chapter presents the following content: Data structures and problems with C, pointers, arrays and structures, types of arrays, use of vectors, resizing the vector, parameter-passing mechanism, call by reference, call by constant reference, primitive arrays of constants,...

8/28/2020 7:32:46 PM +00:00