Fundamental of ComputingR

Java Python 

Modules Information:

Module

Fundamental of Computing

Session

May 2024

Programme

MASTER IN INFORMATION TECHNOLOGY(MITLS)

Summary of Coursework Breakdown:

(as stated in course structure)

No

Description of coursework

Learning Outcomes covered

Marks allocated

1

Individual Assignment (Part 1)

CLO1

30%

2

Individual Assignment (Part II)

CLO2

40%

3

Individual Assignment (Part III)

CLO3

30%

 

CONTRIBUTION OF THE COURSEWORK TO THE COURSE

100%

 

 

 

 

TOTAL

100%

Penalty for late submission:

1 day - minus 20% of total mark awarded

2 days - minus 50% of total mark awarded

3 days - 0 mark for this piece of coursework

 

Coursework #1

Modules Information:

Module

Fundamental of Computing

Session

May 2024

Programme

MASTER IN INFORMATION TECHNOLOGY(MITLS)

Coursework Type

Individual Assignment

Percentage

100%

Handout Date

Week 3 Monday

Due Date

Week 6 Wednesday, 19th June 2024 before 11.00 pm.

Student’s Declaration:

By attempting this individual assignment 1, Iacknowledge that:

    I have read and  Fundamental of ComputingR understand the conduct requirements for this individual assignment.

    I understand what is meant by plagiarism.

Learning Outcomes Assessed:

CLO1

Evaluate the basic principles of system modelling in systems analysis, design and development according to life cycle methodology. (C4, PLO1)

CLO2

Construct appropriate database techniques in conceptual and logical modeling to complete related activities. (P3, PL06)

CLO3

Relate the importance of information security and ethical concerns towards computing context. (C4, PLO2)

 

Penalty

Penalty

Student will be awarded ZERO if he/she does not complete their individual assignment (without valid reasons). The lecturer has the right NOT to extend the due date for the absentee, except in the case of protracted (and / or certified) illness.

Instructions: This assignment consists of THREE (3) parts as follows; Part 1

Read the Bright Future School Case Study below: Bright Future School

Bright Future School is a small private school that has retained your services as a systems

analyst to assist in the development of a new information system for the school’s administrative needs.

Background

Based  on  preliminary  research  and  fact-finding,   the  proposed  billing  system  includes components for registering students, generating drop-in reports, generating bills, recording payments, generating receipts, and generating monthly reports. You will now proceed with the systems analysis phase by developing an object-oriented model of the billing system.

Tasks

1.            Design at least four class objects for Bright Future’s new system including attributes and methods.

2.         Create a class diagram for the system classes that you identified in Task 1 (above).

3.         Are there any classes in Bright Future School’s system that can be grouped into subclasses? Why would you want to group data elements into subclasses?

4.         Design a use case model for a method in the new system.

Part 2

Based on the Case Study from Part 1, you are required to design and develop a small

database for Bright Future School using Microsoft Office Access. You are expected to

complete the following tasks; Tasks;

1.   Identify relevant business rules related to the Case Study

2.   Identify relevant entities and attributes.

3.   Draw an Entity-Relationship Diagram (ERD) related to the Case Study

4.   From the  ERD,  create database Table with proper primary key, foreign  keys and database relationship.

Upon completion of the above tasks, you are required to document all the completed task including the screenshot of created Tables and relationships.

Part 3

Based on the Case Study from Part 1, as the Chief Network Security Officer, you are required to investigate and produce a report on the network security requirements needed for this firm.

You are to produce a complete set of computer security policies and procedure for the director. The breakdown of the report is as follow:

1.0                      Executive Summary

2.0                      Background Introduction 3.0                      Business Strategy

4.0                      Threat, Risk & Vulnerability Analysis 5.0                      Policies and Goal Security

6.0                      Security Policy

7.0                      Physical Security

8.0                      Network Security architectures, designs 9.0                      Operating System and Data Security

10.0                    Cryptography

11.0                   Ethics

12.0                   Privacy

13.0                   Intellectual Property

14.0                   Conclusion

15         

### 学习统计信号处理基础的资源推荐 统计信号处理是信号处理领域的重要分支,主要研究如何从带有噪声的数据中提取有用的信息。它广泛应用于通信、雷达、声呐、生物医学工程、地球物理勘探等领域。掌握其基础理论和方法对于从事相关领域的研究和开发工作至关重要。 #### 推荐教材 - **"Fundamentals of Statistical Signal Processing" by Steven M. Kay**:这套书分为两卷,分别是《估计理论》(Estimation Theory)和《检测理论》(Detection Theory)。这两本书以其清晰的概念解释和实用的例子著称,非常适合初学者入门学习。书中不仅介绍了统计信号处理的基本理论,还提供了大量的实际应用案例,有助于加深理解[^1]。 #### 在线课程与讲座 - **MIT OpenCourseWare (OCW)**:MIT提供了多门与信号处理相关的开放课程,其中包括完整的课程笔记、作业以及考试题目。特别是“Signals and Systems”和“Statistical Signal Processing”等课程,对于打好数学基础和理论框架非常有帮助。 - **Stanford University Courses**:斯坦福大学同样提供了一些高级课程,如“EE 278: Statistical Signal Processing”,该课程涵盖了随机过程的基础知识及其在信号处理中的应用,适合有一定数学背景的学习者深入学习[^2]。 #### 其他学习资源 - **在线论坛与社区**:加入如Stack Exchange、Reddit的r/SignalProcessing等专业社区,可以让你接触到最新的研究成果和技术讨论,同时也是一个解决具体问题的好地方。 - **实践项目**:通过参与实际项目来应用所学知识是非常有效的学习方式。可以从简单的项目开始,比如使用Python实现基本的滤波器设计、频谱分析等任务。随着技能的增长,逐渐尝试更复杂的项目,如开发一个完整的信号处理流水线。 ```python import numpy as np from scipy.signal import butter, lfilter def butter_bandpass(lowcut, highcut, fs, order=5): nyq = 0.5 * fs low = lowcut / nyq high = highcut / nyq b, a = butter(order, [low, high], btype='band') return b, a def butter_bandpass_filter(data, lowcut, highcut, fs, order=5): b, a = butter_bandpass(lowcut, highcut, fs, order=order) y = lfilter(b, a, data) return y ``` 以上代码片段展示了如何使用Python中的`scipy.signal`库实现一个带通滤波器,这是统计信号处理中常见的一个应用场景。
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