Hands-on Database: An Introduction To Database ...

Candidates for this exam are seeking to prove introductory knowledge of and skills with databases, including relational databases, such as Microsoft SQL Server. It is recommended that candidates be familiar with the concepts of and have hands-on experience with the technologies described here, either by taking relevant training courses or by working with tutorials and samples available on MSDN and in Microsoft Visual Studio. Although minimal hands-on experience with the technologies is recommended, job experience is not assumed for these exams.

Hands-on Database: An Introduction to Database ...

The lack of thread safety is not simply a consequence of laziness onour part. It coincides with the promises made by transactionalintegrity on the database: you will not want to see the changes madeby one session in another session while its transaction has not beencommitted (Read-Committed transaction isolation level). It might makesense however to implement a copy-on-write strategy in the future, toallow sharing of the bulk of database objects between sessions.

CSC* E239 - Introduction to Database Design & Admin. (3 credits)Code(s): BUS, COMPPrerequisite(s): The ability to perform basic file management and word processing tasks on a personal computer A comprehensive study of relational database design methodology and an introduction to the basics of administering a relational database management system (RDBMS). The course focuses on the relational database model and the standard methodology for designing tables, fields, constraints, relationships, views, and other relational database elements so as to minimize data redundancy, establish data integrity, optimize performance, and facilitate the modification and retrieval of data. The course also covers the basics of implementing a relational database in a RDBMS and administering that RDBMS. Course content is continually updated to reflect the current state of the art in relational database technology. The course requires substantial hands-on computer work in a computerized classroom environment. Course Outline: CSC 239

Library and Information Science education focuses on use of databases for research but additional skills in hands-on primary source work broadens librarians’ and archivists’ research skills. Excellent primary research abilities will deepen the resources available to the student and their future patrons.This course addresses the variety and challenges in historic and records research of original material. Students will develop research pre-planning, on-site planning and note-taking for solid organizational skills.

Prereq: INF 6120 - Characteristics of legal literature including federal, state and administrative law; structure of U.S. court system and its publications; introduction to legal databases; special problems in legal reference service and administration; selection and use of basic tools in legal research. 1 credit

1)complex data models - for example, while storing data in a hierarchical structure (HOGs) results in significant performance benefits for common analyses, such as computing orthologs of a specific gene in a different model organism, the hierarchy also results in requiring advanced knowledge of the SPARQL language (in particular, recursivity) in order to benefit from the RDF representation of HOGs. In this article, we present a series of hands-on examples, in increasing order of complexity, to familiarise the reader with the basic concepts needed to query evolutionary relationships in orthology databases.

For a more complete introduction to SPARQL and RDF in the context of biological databases see (Simaet al., 2019). Next we will introduce the data models of the orthology databases considered in this article.

The primary emphasis of the curriculum is hands-on training in programming, database design, database application, web development and related computer areas that provide the ability to adapt as information systems evolve. Graduates should qualify for employment in business, industry, and government organizations as entry-level programmers, programmer trainees, software developers, database developers, software specialists, or information managers. Students who successfully complete the following courses can be awarded this degree.

Data visualization is the process of representing information graphically. This course provides a hands-on introduction to various data visualization tools such as Tableau, Excel, Power BI, R Studio. Students use repositories of data for preparation that includes: data formatting, filtering and cleaning. Design principles are applied to create meaningful displays of quantitative and qualitative data to facilitate managerial decision-making. Strongly Recommended: CIS 54 with a minimum grade of C. 54 hours lecture. Transfer: CSU.

A comprehensive introduction to the concepts of management and information systems used in business and similar organizations. Covers the role of information systems in business, the need for data and information, how computers are used in business and other organizations to provide information. Focus on information systems, database management system, networking, e-commerce, ethics and security, computer system hardware and software components. Students will interactively solve applied problems utilizing software productivity tools such as: word processors, spreadsheets, databases, presentation, WWW, and programming languages. Introduce the analytical, written and oral communication skills necessary to communicate effectively in a business computing environment. 54 hours lecture, 18 hours laboratory. AA/AS GE. Transfer CSU, UC; C-ID# BUS 140.

This course provides an introduction to computer networking fundamentals skills needed to meet the industry demand for entry-level Network Technicians. Topics include: Ethernet network fundamentals, Local Area Networks (LANs), and Wide Area Networks (WAN) technologies, the Open Systems Interconnection (OSI) model, wiring implementations, network adapters and connectivity devices, IPv4/IPv6 addressing, Voice over IP (VoIP), and wireless standards. Tools to help prevent cyber attacks with IDS (Intrusion Detection Systems), authentication, and encryption are demonstrated. Student labs include: configuration of a SOHO (Small Office/Home Office), a firewall, a virtual private network (VPN), a switch, and a router and documenting a networking using professional drawing software. The responsibilities of an ICT (Information and Communications Technology) professional will be introduced. This course prepares students for the CompTIA Network+ Certification Exam. This professional certification verifies the student has the knowledge equivalent to that of an ICT technician with about 12 months of hands-on experience. Students who have completed or are enrolled in CNT 52 may not receive credit. Strongly Recommended: CIS 50 with a minimum grade of C. 54 hours lecture, 18 hours laboratory. Transfer: CSU.

This course provides students with a vendor-neutral introduction to and an overview of database systems; including database design, conceptual, logical and physical data modeling, Entity Relationship models. This course includes sections on relational databases, Structured Query Language (SQL) and optimizing databases through normalization. You will apply your knowledge with hands-on labs designed to apply the intricacies of database design methodology. Strongly Recommended: CIS 57 with a minimum grade of C. 45 hours lecture, 27 hours laboratory. Transfer: CSU.

Introduction to the techniques and tools required to develop database driven web applications using Oracle Application Express (APEX). Using only a web browser and limited programming experience, you can develop and deploy professional applications. Students study how to design, develop and deploy responsive database-driven web applications using APEX. APEX integrated development environment is utilized to provide practical, hands-on activities. Strongly Recommended: CIS 9002 with a minimum grade of C. 45 hours lecture, 27 hours laboratory. Transfer: CSU.

Hands-on introduction to technology systems for use in information environments. The course steps students through choosing, installing, and managing computer hardware and operating systems, as well as networking hardware and software. The course also explores alternatives for administering IT and how to assess emerging technologies and their applicability to library settings. While students are expected to have basic computer competencies per the School of Information Sciences admissions requirements, the goal of the course is to provide practical detailed knowledge of the technology for all levels of competency. The primary objective is to provide a conceptual understanding of the topics of the day through concrete hands-on examples of implementation. By learning the underlying concepts, students will be better prepared to help design networked systems that not only work well today, but also develop systems that can be easily adapted for the needs and technologies of tomorrow.

Provides an introduction to the design of IS research, beginning with an in-depth consideration of the philosophical and logical underpinnings of research. A brief survey of different methods used in IS research is followed by an exploration of research design issues through comparative hands-on exercises. Throughout the course, the emphasis will be on research design choices, especially the connections between research questions and research methods.

Data mining refers to the process of exploring large datasets with the goal of uncovering interesting patterns. This process usually involves a number of tasks such as data collection, pre-processing, and characterization; model fitting, selection, and evaluation; classification, clustering, and prediction. Although data mining has its roots in database management, it has grown into a discipline that focuses on algorithm design (to ensure computational feasibility) and statistical modeling (to separate the signal from the noise). It draws heavily upon a variety of other disciplines including statistics, machine learning, operations research, and information retrieval. Will cover the major data mining concepts, principles, and techniques that every information scientist should know about. Lectures will introduce and discuss the major approaches to data mining; computer lab sessions coupled with assignments will provide hands-on experience with these approaches; term projects offer the opportunity to use data mining in a novel way. Mathematical detail will be left to the students who are so inclined. 041b061a72